{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"Mining_Towards_AI.ipynb","provenance":[],"collapsed_sections":["_3qPLjg5QM9X"],"authorship_tag":"ABX9TyOylvZszUoOHTBMhwAFLSzi"},"kernelspec":{"name":"python3","display_name":"Python 3"}},"cells":[{"cell_type":"markdown","metadata":{"id":"_3qPLjg5QM9X","colab_type":"text"},"source":["##all links in a tag"]},{"cell_type":"code","metadata":{"colab_type":"code","id":"pq9U-whmJACs","colab":{}},"source":["import requests\n","from bs4 import BeautifulSoup\n","\n","#URL = 'https://medium.com/towards-artificial-intelligence/tagged/artificial-intelligence'\n","URL = 'https://medium.com/towards-artificial-intelligence/tagged/education'\n","page = requests.get(URL)\n","\n","soup = BeautifulSoup(page.content, 'html.parser')"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"05VuDMlxK7VF","colab_type":"code","colab":{}},"source":["soup"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"GsE30VuwIogc","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":207},"outputId":"265d91a2-ba8d-4b42-ccd2-6aeea058beca","executionInfo":{"status":"ok","timestamp":1592177582473,"user_tz":-120,"elapsed":958,"user":{"displayName":"Michelangiolo Mazzeschi","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Ghg8l8QeAQA6fd1iPVc2f_F0XQpum7zRjrF4R7HRw=s64","userId":"15738155355555420240"}}},"source":["job_elems = soup.find_all(class_='streamItem streamItem--postPreview js-streamItem')\n","job_elems"],"execution_count":88,"outputs":[{"output_type":"execute_result","data":{"text/plain":["[<div class=\"streamItem streamItem--postPreview js-streamItem\"><div class=\"cardChromeless u-marginTop20 u-paddingTop10 u-paddingBottom15 u-paddingLeft20 u-paddingRight20\"><div class=\"postArticle postArticle--short js-postArticle js-trackPostPresentation js-trackPostScrolls\" data-post-id=\"bc17926581a3\" data-source=\"---------0-----------------------\"><div class=\"u-clearfix u-marginBottom15 u-paddingTop5\"><div class=\"postMetaInline u-floatLeft u-sm-maxWidthFullWidth\"><div class=\"u-flexCenter\"><div class=\"postMetaInline-avatar u-flex0\"><a class=\"link u-baseColor--link avatar\" data-action=\"show-user-card\" data-action-type=\"hover\" data-action-value=\"3a025d440e6b\" data-user-id=\"3a025d440e6b\" dir=\"auto\" href=\"https://medium.com/@benjaminobi\"><div class=\"u-relative u-inlineBlock u-flex0\"><img alt=\"Go to the profile of Benjamin Obi Tayo Ph.D.\" class=\"avatar-image u-size36x36 u-xs-size32x32\" src=\"https://cdn-images-1.medium.com/fit/c/72/72/0*5GSLtRNfbeakcL16.\"/><div class=\"avatar-halo u-absolute u-textColorGreenNormal svgIcon\" style=\" display:flex; flex-direction:row; align-items: center; justify-content: center; height:calc(100% + 25px); width:calc(100% + 25px); pointer-events: none; top:50%; left:50%; transform:translateY(-50%) translateX(-50%); \"><svg height=\"39\" style=\"width: calc(100% - 18px); height: calc(100% - 18px);\" viewbox=\"0 0 39 39\" width=\"39\" xmlns=\"http://www.w3.org/2000/svg\"><path clip-rule=\"evenodd\" d=\"M19.5 1C11.8339 1 5.168 5.74599 1.90845 12.7115L1 12.2885C4.40345 5.01551 11.3974 0 19.5 0C27.6026 0 34.5966 5.01551 38 12.2885L37.0915 12.7115C33.832 5.74599 27.1661 1 19.5 1ZM1.90845 26.2885C5.168 33.254 11.8339 38 19.5 38C27.1661 38 33.832 33.254 37.0915 26.2885L38 26.7115C34.5966 33.9845 27.6026 39 19.5 39C11.3974 39 4.40345 33.9845 1 26.7115L1.90845 26.2885Z\" fill-rule=\"evenodd\"></path></svg></div></div></a></div><div class=\"postMetaInline postMetaInline-authorLockup ui-captionStrong u-flex1 u-noWrapWithEllipsis\"><a class=\"ds-link ds-link--styleSubtle link link--darken link--accent u-accentColor--textNormal u-accentColor--textDarken\" data-action=\"show-user-card\" data-action-source=\"---------0-----------------------\" data-action-type=\"hover\" data-action-value=\"3a025d440e6b\" data-user-id=\"3a025d440e6b\" dir=\"auto\" href=\"https://medium.com/@benjaminobi?source=---------0-----------------------\">Benjamin Obi Tayo Ph.D.</a> in <a class=\"ds-link ds-link--styleSubtle link--darken link--accent u-accentColor--textNormal\" data-action=\"show-collection-card\" data-action-source=\"---------0-----------------------\" data-action-type=\"hover\" data-action-value=\"towards-artificial-intelligence\" href=\"https://medium.com/towards-artificial-intelligence?source=---------0-----------------------\">Towards AI — Multidisciplinary Science Journal</a><div class=\"ui-caption u-fontSize12 u-baseColor--textNormal u-textColorNormal js-postMetaInlineSupplemental\"><a class=\"link link--darken\" data-action=\"open-post\" data-action-source=\"preview-listing\" data-action-value=\"https://medium.com/towards-artificial-intelligence/quantitative-ability-a-requirement-for-data-science-business-analytics-programs-bc17926581a3?source=---------0-----------------------\" href=\"https://medium.com/towards-artificial-intelligence/quantitative-ability-a-requirement-for-data-science-business-analytics-programs-bc17926581a3?source=---------0-----------------------\"><time datetime=\"2020-06-09T03:42:35.724Z\">Jun 8</time></a><span class=\"middotDivider u-fontSize12\"></span><span class=\"readingTime\" title=\"3 min read\"></span><span class=\"u-paddingLeft4\"><span class=\"svgIcon svgIcon--star svgIcon--15px\"><svg class=\"svgIcon-use\" height=\"15\" width=\"15\"><path d=\"M7.438 2.324c.034-.099.09-.099.123 0l1.2 3.53a.29.29 0 0 0 .26.19h3.884c.11 0 .127.049.038.111L9.8 8.327a.271.271 0 0 0-.099.291l1.2 3.53c.034.1-.011.131-.098.069l-3.142-2.18a.303.303 0 0 0-.32 0l-3.145 2.182c-.087.06-.132.03-.099-.068l1.2-3.53a.271.271 0 0 0-.098-.292L2.056 6.146c-.087-.06-.071-.112.038-.112h3.884a.29.29 0 0 0 .26-.19l1.2-3.52z\"></path></svg></span></span></div></div></div></div></div><div><a class=\"\" data-action-source=\"---------0-----------------------\" href=\"https://medium.com/towards-artificial-intelligence/quantitative-ability-a-requirement-for-data-science-business-analytics-programs-bc17926581a3?source=---------0-----------------------\"><div class=\"postArticle-content js-postField\"><section class=\"section section--body section--first section--last\"><div class=\"section-divider\"><hr class=\"section-divider\"/></div><div class=\"section-content\"><div class=\"section-inner sectionLayout--insetColumn\"><figure class=\"graf graf--figure graf--layoutCroppedHeightPreview graf--leading\" id=\"previewImage\" name=\"previewImage\"><div class=\"aspectRatioPlaceholder is-locked\"><div class=\"aspectRatioPlaceholder-fill\" style=\"padding-bottom: 30%;\"></div><img class=\"graf-image\" data-height=\"728\" data-image-id=\"1*yOoPfLeCoJwSZphgma7D-w.png\" data-is-featured=\"true\" data-width=\"1288\" src=\"https://cdn-images-1.medium.com/fit/t/1600/480/1*yOoPfLeCoJwSZphgma7D-w.png\"/></div></figure><h4 class=\"graf graf--h4 graf-after--figure graf--kicker\" id=\"7b0e\" name=\"7b0e\"><span class=\"markup--anchor markup--h4-anchor\" data-action=\"open-inner-link\" data-action-value=\"https://towardsai.net/p/category/data-science\">Data Science</span>, <span class=\"markup--anchor markup--h4-anchor\" data-action=\"open-inner-link\" data-action-value=\"https://towardsai.net/p/category/education\">Education</span></h4><h3 class=\"graf graf--h3 graf-after--h4 graf--trailing graf--title\" id=\"1e40\" name=\"1e40\">Quantitative Ability — A Requirement for Data Science/Business Analytics…</h3></div></div></section></div></a></div><div class=\"postArticle-readMore\"><a class=\"button button--smaller button--chromeless u-baseColor--buttonNormal\" data-action=\"open-post\" 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2.658c-.288.12-.605.288-.864.547a1.884 1.884 0 0 0 0 2.659l.624.622a1.879 1.879 0 0 0-.91 3.16l5.019 5.02c1.595 1.594 3.515 2.645 5.408 2.959a7.16 7.16 0 0 0 1.173.098c1.026 0 1.997-.24 2.892-.7.279.04.555.065.828.065 1.53 0 2.969-.628 4.236-1.894 3.338-3.338 3.083-6.928 1.738-9.166l-2.868-5.043z\"></path></g></svg></span></span><span class=\"button-activeState\"><span class=\"svgIcon svgIcon--clapFilled svgIcon--25px is-flushLeft\"><svg class=\"svgIcon-use\" height=\"25\" width=\"25\"><g fill-rule=\"evenodd\"><path d=\"M11.738 0l.762 2.966L13.262 0z\"></path><path d=\"M16.634 1.224l-1.432-.47-.408 3.022z\"></path><path d=\"M9.79.754l-1.431.47 1.84 2.552z\"></path><path d=\"M22.472 13.307l-3.023-5.32c-.287-.426-.689-.705-1.123-.776a1.16 1.16 0 0 0-.911.221c-.297.231-.474.515-.535.84.017.022.036.04.053.063l2.843 5.001c1.95 3.564 1.328 6.973-1.843 10.144a8.46 8.46 0 0 1-.549.501c1.205-.156 2.328-.737 3.351-1.76 3.268-3.268 3.041-6.749 1.737-8.914\"></path><path d=\"M12.58 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2v14.66h.012c.01.103.045.204.12.285a.5.5 0 0 0 .706.03L12.5 16.85l5.662 4.126a.508.508 0 0 0 .708-.03.5.5 0 0 0 .118-.285H19V6zm-6.838 9.97L7 19.636V6c0-.55.45-1 1-1h9c.55 0 1 .45 1 1v13.637l-5.162-3.668a.49.49 0 0 0-.676 0z\" fill-rule=\"evenodd\"></path></svg></span></span></button></div></div></div></div></div>,\n"," <div class=\"streamItem streamItem--postPreview js-streamItem\"><div class=\"cardChromeless u-marginTop20 u-paddingTop10 u-paddingBottom15 u-paddingLeft20 u-paddingRight20\"><div class=\"postArticle postArticle--short js-postArticle js-trackPostPresentation js-trackPostScrolls\" data-post-id=\"99291fd8614a\" data-source=\"---------1-----------------------\"><div class=\"u-clearfix u-marginBottom15 u-paddingTop5\"><div class=\"postMetaInline u-floatLeft u-sm-maxWidthFullWidth\"><div class=\"u-flexCenter\"><div class=\"postMetaInline-avatar u-flex0\"><a class=\"link u-baseColor--link avatar\" data-action=\"show-user-card\" data-action-type=\"hover\" data-action-value=\"3a025d440e6b\" data-user-id=\"3a025d440e6b\" dir=\"auto\" href=\"https://medium.com/@benjaminobi\"><div class=\"u-relative u-inlineBlock u-flex0\"><img alt=\"Go to the profile of Benjamin Obi Tayo Ph.D.\" class=\"avatar-image u-size36x36 u-xs-size32x32\" src=\"https://cdn-images-1.medium.com/fit/c/72/72/0*5GSLtRNfbeakcL16.\"/><div class=\"avatar-halo u-absolute u-textColorGreenNormal svgIcon\" style=\" display:flex; flex-direction:row; align-items: center; justify-content: center; height:calc(100% + 25px); width:calc(100% + 25px); pointer-events: none; top:50%; left:50%; transform:translateY(-50%) translateX(-50%); \"><svg height=\"39\" style=\"width: calc(100% - 18px); height: calc(100% - 18px);\" viewbox=\"0 0 39 39\" width=\"39\" xmlns=\"http://www.w3.org/2000/svg\"><path clip-rule=\"evenodd\" d=\"M19.5 1C11.8339 1 5.168 5.74599 1.90845 12.7115L1 12.2885C4.40345 5.01551 11.3974 0 19.5 0C27.6026 0 34.5966 5.01551 38 12.2885L37.0915 12.7115C33.832 5.74599 27.1661 1 19.5 1ZM1.90845 26.2885C5.168 33.254 11.8339 38 19.5 38C27.1661 38 33.832 33.254 37.0915 26.2885L38 26.7115C34.5966 33.9845 27.6026 39 19.5 39C11.3974 39 4.40345 33.9845 1 26.7115L1.90845 26.2885Z\" fill-rule=\"evenodd\"></path></svg></div></div></a></div><div class=\"postMetaInline postMetaInline-authorLockup ui-captionStrong u-flex1 u-noWrapWithEllipsis\"><a class=\"ds-link ds-link--styleSubtle link link--darken link--accent u-accentColor--textNormal u-accentColor--textDarken\" data-action=\"show-user-card\" data-action-source=\"---------1-----------------------\" data-action-type=\"hover\" data-action-value=\"3a025d440e6b\" data-user-id=\"3a025d440e6b\" dir=\"auto\" href=\"https://medium.com/@benjaminobi?source=---------1-----------------------\">Benjamin Obi Tayo Ph.D.</a> in <a class=\"ds-link ds-link--styleSubtle link--darken link--accent u-accentColor--textNormal\" data-action=\"show-collection-card\" data-action-source=\"---------1-----------------------\" data-action-type=\"hover\" data-action-value=\"towards-artificial-intelligence\" href=\"https://medium.com/towards-artificial-intelligence?source=---------1-----------------------\">Towards AI — Multidisciplinary Science Journal</a><div class=\"ui-caption u-fontSize12 u-baseColor--textNormal u-textColorNormal js-postMetaInlineSupplemental\"><a class=\"link link--darken\" data-action=\"open-post\" data-action-source=\"preview-listing\" data-action-value=\"https://medium.com/towards-artificial-intelligence/teaching-physics-with-zoom-99291fd8614a?source=---------1-----------------------\" href=\"https://medium.com/towards-artificial-intelligence/teaching-physics-with-zoom-99291fd8614a?source=---------1-----------------------\"><time datetime=\"2020-06-08T03:23:29.738Z\">Jun 7</time></a><span class=\"middotDivider u-fontSize12\"></span><span class=\"readingTime\" title=\"5 min read\"></span><span class=\"u-paddingLeft4\"><span class=\"svgIcon svgIcon--star svgIcon--15px\"><svg class=\"svgIcon-use\" height=\"15\" width=\"15\"><path d=\"M7.438 2.324c.034-.099.09-.099.123 0l1.2 3.53a.29.29 0 0 0 .26.19h3.884c.11 0 .127.049.038.111L9.8 8.327a.271.271 0 0 0-.099.291l1.2 3.53c.034.1-.011.131-.098.069l-3.142-2.18a.303.303 0 0 0-.32 0l-3.145 2.182c-.087.06-.132.03-.099-.068l1.2-3.53a.271.271 0 0 0-.098-.292L2.056 6.146c-.087-.06-.071-.112.038-.112h3.884a.29.29 0 0 0 .26-.19l1.2-3.52z\"></path></svg></span></span></div></div></div></div></div><div><a class=\"\" data-action-source=\"---------1-----------------------\" href=\"https://medium.com/towards-artificial-intelligence/teaching-physics-with-zoom-99291fd8614a?source=---------1-----------------------\"><div class=\"postArticle-content js-postField\"><section class=\"section section--body section--first section--last\"><div class=\"section-divider\"><hr class=\"section-divider\"/></div><div class=\"section-content\"><div class=\"section-inner sectionLayout--insetColumn\"><figure class=\"graf graf--figure graf--layoutCroppedHeightPreview graf--leading\" id=\"previewImage\" name=\"previewImage\"><div class=\"aspectRatioPlaceholder is-locked\"><div class=\"aspectRatioPlaceholder-fill\" style=\"padding-bottom: 30%;\"></div><img class=\"graf-image\" data-height=\"567\" data-image-id=\"1*P9W0YDzMzHT1wO92HQjm5w.png\" data-is-featured=\"true\" data-width=\"1360\" src=\"https://cdn-images-1.medium.com/fit/t/1600/480/1*P9W0YDzMzHT1wO92HQjm5w.png\"/></div></figure><h4 class=\"graf graf--h4 graf-after--figure graf--kicker\" id=\"4dce\" name=\"4dce\">Physics, Education</h4><h3 class=\"graf graf--h3 graf-after--h4 graf--title\" id=\"b6ca\" name=\"b6ca\">Teaching Physics with Zoom</h3><h4 class=\"graf graf--h4 graf-after--h3 graf--trailing graf--subtitle\" id=\"c6cf\" name=\"c6cf\">Using a combination of PowerPoint slides…</h4></div></div></section></div></a></div><div class=\"postArticle-readMore\"><a class=\"button button--smaller button--chromeless u-baseColor--buttonNormal\" 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href=\"https://medium.com/@benjaminobi?source=---------2-----------------------\">Benjamin Obi Tayo Ph.D.</a> in <a class=\"ds-link ds-link--styleSubtle link--darken link--accent u-accentColor--textNormal\" data-action=\"show-collection-card\" data-action-source=\"---------2-----------------------\" data-action-type=\"hover\" data-action-value=\"towards-artificial-intelligence\" href=\"https://medium.com/towards-artificial-intelligence?source=---------2-----------------------\">Towards AI — Multidisciplinary Science Journal</a><div class=\"ui-caption u-fontSize12 u-baseColor--textNormal u-textColorNormal js-postMetaInlineSupplemental\"><a class=\"link link--darken\" data-action=\"open-post\" data-action-source=\"preview-listing\" data-action-value=\"https://medium.com/towards-artificial-intelligence/data-science-mooc-are-too-superficial-1ca90db7787a?source=---------2-----------------------\" href=\"https://medium.com/towards-artificial-intelligence/data-science-mooc-are-too-superficial-1ca90db7787a?source=---------2-----------------------\"><time datetime=\"2020-06-06T03:57:28.974Z\">Jun 5</time></a><span class=\"middotDivider u-fontSize12\"></span><span class=\"readingTime\" title=\"4 min read\"></span><span class=\"u-paddingLeft4\"><span class=\"svgIcon svgIcon--star svgIcon--15px\"><svg class=\"svgIcon-use\" height=\"15\" width=\"15\"><path d=\"M7.438 2.324c.034-.099.09-.099.123 0l1.2 3.53a.29.29 0 0 0 .26.19h3.884c.11 0 .127.049.038.111L9.8 8.327a.271.271 0 0 0-.099.291l1.2 3.53c.034.1-.011.131-.098.069l-3.142-2.18a.303.303 0 0 0-.32 0l-3.145 2.182c-.087.06-.132.03-.099-.068l1.2-3.53a.271.271 0 0 0-.098-.292L2.056 6.146c-.087-.06-.071-.112.038-.112h3.884a.29.29 0 0 0 .26-.19l1.2-3.52z\"></path></svg></span></span></div></div></div></div></div><div><a class=\"\" data-action-source=\"---------2-----------------------\" href=\"https://medium.com/towards-artificial-intelligence/data-science-mooc-are-too-superficial-1ca90db7787a?source=---------2-----------------------\"><div class=\"postArticle-content js-postField\"><section class=\"section section--body section--first section--last\"><div class=\"section-divider\"><hr class=\"section-divider\"/></div><div class=\"section-content\"><div class=\"section-inner sectionLayout--insetColumn\"><figure class=\"graf graf--figure graf--layoutCroppedHeightPreview graf--leading\" id=\"previewImage\" name=\"previewImage\"><div class=\"aspectRatioPlaceholder is-locked\"><div class=\"aspectRatioPlaceholder-fill\" style=\"padding-bottom: 30%;\"></div><img class=\"graf-image\" data-height=\"612\" data-image-id=\"1*dvsIWR7h2vGO6KU58conVw.png\" data-is-featured=\"true\" data-width=\"1212\" src=\"https://cdn-images-1.medium.com/fit/t/1600/480/1*dvsIWR7h2vGO6KU58conVw.png\"/></div></figure><h4 class=\"graf graf--h4 graf-after--figure graf--kicker\" id=\"897a\" name=\"897a\">Opinion</h4><h3 class=\"graf graf--h3 graf-after--h4 graf--title\" id=\"265a\" name=\"265a\">Data Science MOOCs are too Superficial</h3><h4 class=\"graf graf--h4 graf-after--h3 graf--trailing graf--subtitle\" id=\"77bf\" name=\"77bf\">Most massive open online courses are too…</h4></div></div></section></div></a></div><div class=\"postArticle-readMore\"><a class=\"button button--smaller button--chromeless u-baseColor--buttonNormal\" data-action=\"open-post\" data-action-source=\"---------2-----------------------\" data-action-value=\"https://medium.com/towards-artificial-intelligence/data-science-mooc-are-too-superficial-1ca90db7787a?source=---------2-----------------------\" data-post-id=\"1ca90db7787a\" href=\"https://medium.com/towards-artificial-intelligence/data-science-mooc-are-too-superficial-1ca90db7787a?source=---------2-----------------------\">Read more…</a></div><div class=\"u-clearfix u-paddingTop10\"><div class=\"u-floatLeft\"><div class=\"multirecommend 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Journal</a><div class=\"ui-caption u-fontSize12 u-baseColor--textNormal u-textColorNormal js-postMetaInlineSupplemental\"><a class=\"link link--darken\" data-action=\"open-post\" data-action-source=\"preview-listing\" data-action-value=\"https://medium.com/towards-artificial-intelligence/3-levels-of-data-science-5a5dbb99cfbb?source=---------3-----------------------\" href=\"https://medium.com/towards-artificial-intelligence/3-levels-of-data-science-5a5dbb99cfbb?source=---------3-----------------------\"><time datetime=\"2020-05-30T07:26:36.148Z\">May 29</time></a><span class=\"middotDivider u-fontSize12\"></span><span class=\"readingTime\" title=\"5 min read\"></span><span class=\"u-paddingLeft4\"><span class=\"svgIcon svgIcon--star svgIcon--15px\"><svg class=\"svgIcon-use\" height=\"15\" width=\"15\"><path d=\"M7.438 2.324c.034-.099.09-.099.123 0l1.2 3.53a.29.29 0 0 0 .26.19h3.884c.11 0 .127.049.038.111L9.8 8.327a.271.271 0 0 0-.099.291l1.2 3.53c.034.1-.011.131-.098.069l-3.142-2.18a.303.303 0 0 0-.32 0l-3.145 2.182c-.087.06-.132.03-.099-.068l1.2-3.53a.271.271 0 0 0-.098-.292L2.056 6.146c-.087-.06-.071-.112.038-.112h3.884a.29.29 0 0 0 .26-.19l1.2-3.52z\"></path></svg></span></span></div></div></div></div></div><div><a class=\"\" data-action-source=\"---------3-----------------------\" href=\"https://medium.com/towards-artificial-intelligence/3-levels-of-data-science-5a5dbb99cfbb?source=---------3-----------------------\"><div class=\"postArticle-content js-postField\"><section class=\"section section--body section--first section--last\"><div class=\"section-divider\"><hr class=\"section-divider\"/></div><div class=\"section-content\"><div class=\"section-inner sectionLayout--insetColumn\"><figure class=\"graf graf--figure graf--layoutCroppedHeightPreview graf--leading\" id=\"previewImage\" name=\"previewImage\"><div class=\"aspectRatioPlaceholder is-locked\"><div class=\"aspectRatioPlaceholder-fill\" style=\"padding-bottom: 30%;\"></div><img class=\"graf-image\" data-height=\"1232\" data-image-id=\"1*RWkFKUBub4ABr3thxDuDfw.png\" data-is-featured=\"true\" data-width=\"1732\" src=\"https://cdn-images-1.medium.com/fit/t/1600/480/1*RWkFKUBub4ABr3thxDuDfw.png\"/></div></figure><h4 class=\"graf graf--h4 graf-after--figure graf--kicker\" id=\"46b1\" name=\"46b1\">Data Science</h4><h3 class=\"graf graf--h3 graf-after--h4 graf--title\" id=\"d380\" name=\"d380\">3 Levels of Data Science</h3><h4 class=\"graf graf--h4 graf-after--h3 graf--trailing graf--subtitle\" id=\"1ba9\" name=\"1ba9\">Basic, Intermediate, and Advanced</h4></div></div></section></div></a></div><div class=\"postArticle-readMore\"><a class=\"button button--smaller button--chromeless u-baseColor--buttonNormal\" data-action=\"open-post\" data-action-source=\"---------3-----------------------\" 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button--chromeless u-baseColor--buttonNormal\" data-action-source=\"---------3-----------------------\" href=\"https://medium.com/towards-artificial-intelligence/3-levels-of-data-science-5a5dbb99cfbb?source=---------3-----------------------#--responses\">2 responses</a><button class=\"button button--dark button--chromeless is-touchIconFadeInPulse u-baseColor--buttonDark button--withIcon button--withSvgIcon button--bookmark js-bookmarkButton\" data-action=\"add-to-bookmarks\" data-action-value=\"5a5dbb99cfbb\"><span class=\"js-remove-from-bookmarks u-hide\"><span class=\"svgIcon svgIcon--bookmarkFilled svgIcon--25px is-flushRight\"><svg class=\"svgIcon-use\" height=\"25\" width=\"25\"><path d=\"M19 6c0-1.1-.9-2-2-2H8c-1.1 0-2 .9-2 2v14.66h.012c.01.103.045.204.12.285a.5.5 0 0 0 .706.03L12.5 16.85l5.662 4.126c.205.183.52.17.708-.03a.5.5 0 0 0 .118-.285H19V6z\"></path></svg></span></span><span class=\"js-add-to-bookmarks\"><span class=\"svgIcon svgIcon--bookmark svgIcon--25px 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class=\"link u-baseColor--link avatar\" data-action=\"show-user-card\" data-action-type=\"hover\" data-action-value=\"8a819983d566\" data-user-id=\"8a819983d566\" dir=\"auto\" href=\"https://medium.com/@robiriondo\"><img alt=\"Go to the profile of Roberto Iriondo\" class=\"avatar-image u-size36x36 u-xs-size32x32\" src=\"https://cdn-images-1.medium.com/fit/c/72/72/1*vP6KLNnBCUjRVIQcXQhcLw.jpeg\"/></a></div><div class=\"postMetaInline postMetaInline-authorLockup ui-captionStrong u-flex1 u-noWrapWithEllipsis\"><a class=\"ds-link ds-link--styleSubtle link link--darken link--accent u-accentColor--textNormal u-accentColor--textDarken\" data-action=\"show-user-card\" data-action-source=\"---------4-----------------------\" data-action-type=\"hover\" data-action-value=\"8a819983d566\" data-user-id=\"8a819983d566\" dir=\"auto\" href=\"https://medium.com/@robiriondo?source=---------4-----------------------\">Roberto Iriondo</a> in <a class=\"ds-link ds-link--styleSubtle link--darken link--accent u-accentColor--textNormal\" data-action=\"show-collection-card\" data-action-source=\"---------4-----------------------\" data-action-type=\"hover\" data-action-value=\"towards-artificial-intelligence\" href=\"https://medium.com/towards-artificial-intelligence?source=---------4-----------------------\">Towards AI — Multidisciplinary Science Journal</a><div class=\"ui-caption u-fontSize12 u-baseColor--textNormal u-textColorNormal js-postMetaInlineSupplemental\"><a class=\"link link--darken\" data-action=\"open-post\" data-action-source=\"preview-listing\" data-action-value=\"https://medium.com/towards-artificial-intelligence/moocs-vs-academia-ensuring-success-starting-in-a-machine-learning-ml-career-304b2e42315e?source=---------4-----------------------\" href=\"https://medium.com/towards-artificial-intelligence/moocs-vs-academia-ensuring-success-starting-in-a-machine-learning-ml-career-304b2e42315e?source=---------4-----------------------\"><time datetime=\"2020-05-27T01:15:37.624Z\">May 26</time></a><span class=\"middotDivider u-fontSize12\"></span><span class=\"readingTime\" title=\"4 min read\"></span><span class=\"u-paddingLeft4\"><span class=\"svgIcon svgIcon--star svgIcon--15px\"><svg class=\"svgIcon-use\" height=\"15\" width=\"15\"><path d=\"M7.438 2.324c.034-.099.09-.099.123 0l1.2 3.53a.29.29 0 0 0 .26.19h3.884c.11 0 .127.049.038.111L9.8 8.327a.271.271 0 0 0-.099.291l1.2 3.53c.034.1-.011.131-.098.069l-3.142-2.18a.303.303 0 0 0-.32 0l-3.145 2.182c-.087.06-.132.03-.099-.068l1.2-3.53a.271.271 0 0 0-.098-.292L2.056 6.146c-.087-.06-.071-.112.038-.112h3.884a.29.29 0 0 0 .26-.19l1.2-3.52z\"></path></svg></span></span></div></div></div></div></div><div><a class=\"\" data-action-source=\"---------4-----------------------\" href=\"https://medium.com/towards-artificial-intelligence/moocs-vs-academia-ensuring-success-starting-in-a-machine-learning-ml-career-304b2e42315e?source=---------4-----------------------\"><div class=\"postArticle-content js-postField\"><section class=\"section section--body section--first section--last\"><div class=\"section-divider\"><hr class=\"section-divider\"/></div><div class=\"section-content\"><div class=\"section-inner sectionLayout--insetColumn\"><figure class=\"graf graf--figure graf--layoutCroppedHeightPreview graf--leading\" id=\"previewImage\" name=\"previewImage\"><div class=\"aspectRatioPlaceholder is-locked\"><div class=\"aspectRatioPlaceholder-fill\" style=\"padding-bottom: 30%;\"></div><img class=\"graf-image\" data-height=\"1500\" data-image-id=\"1*WXXK3zDzID9lHM8vcc0oyQ.jpeg\" data-is-featured=\"true\" data-width=\"2250\" src=\"https://cdn-images-1.medium.com/fit/t/1600/480/1*WXXK3zDzID9lHM8vcc0oyQ.jpeg\"/></div></figure><h4 class=\"graf graf--h4 graf-after--figure graf--kicker\" id=\"8e7b\" name=\"8e7b\"><span class=\"markup--anchor markup--h4-anchor\" data-action=\"open-inner-link\" data-action-value=\"https://towardsai.net/p/category/machine-learning\">Machine Learning</span></h4><h3 class=\"graf graf--h3 graf-after--h4 graf--trailing graf--title\" id=\"62aa\" name=\"62aa\">Ensuring Success Starting a Career in Machine Learning (ML)</h3></div></div></section></div></a></div><div class=\"postArticle-readMore\"><a class=\"button button--smaller button--chromeless u-baseColor--buttonNormal\" data-action=\"open-post\" data-action-source=\"---------4-----------------------\" data-action-value=\"https://medium.com/towards-artificial-intelligence/moocs-vs-academia-ensuring-success-starting-in-a-machine-learning-ml-career-304b2e42315e?source=---------4-----------------------\" data-post-id=\"304b2e42315e\" href=\"https://medium.com/towards-artificial-intelligence/moocs-vs-academia-ensuring-success-starting-in-a-machine-learning-ml-career-304b2e42315e?source=---------4-----------------------\">Read more…</a></div><div class=\"u-clearfix u-paddingTop10\"><div 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js-trackPostScrolls\" data-post-id=\"876a784bc79\" data-source=\"---------5-----------------------\"><div class=\"u-clearfix u-marginBottom15 u-paddingTop5\"><div class=\"postMetaInline u-floatLeft u-sm-maxWidthFullWidth\"><div class=\"u-flexCenter\"><div class=\"postMetaInline-avatar u-flex0\"><a class=\"link u-baseColor--link avatar\" data-action=\"show-user-card\" data-action-type=\"hover\" data-action-value=\"3a025d440e6b\" data-user-id=\"3a025d440e6b\" dir=\"auto\" href=\"https://medium.com/@benjaminobi\"><div class=\"u-relative u-inlineBlock u-flex0\"><img alt=\"Go to the profile of Benjamin Obi Tayo Ph.D.\" class=\"avatar-image u-size36x36 u-xs-size32x32\" src=\"https://cdn-images-1.medium.com/fit/c/72/72/0*5GSLtRNfbeakcL16.\"/><div class=\"avatar-halo u-absolute u-textColorGreenNormal svgIcon\" style=\" display:flex; flex-direction:row; align-items: center; justify-content: center; height:calc(100% + 25px); width:calc(100% + 25px); pointer-events: none; top:50%; left:50%; 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data-action-type=\"hover\" data-action-value=\"3a025d440e6b\" data-user-id=\"3a025d440e6b\" dir=\"auto\" href=\"https://medium.com/@benjaminobi?source=---------5-----------------------\">Benjamin Obi Tayo Ph.D.</a> in <a class=\"ds-link ds-link--styleSubtle link--darken link--accent u-accentColor--textNormal\" data-action=\"show-collection-card\" data-action-source=\"---------5-----------------------\" data-action-type=\"hover\" data-action-value=\"towards-artificial-intelligence\" href=\"https://medium.com/towards-artificial-intelligence?source=---------5-----------------------\">Towards AI — Multidisciplinary Science Journal</a><div class=\"ui-caption u-fontSize12 u-baseColor--textNormal u-textColorNormal js-postMetaInlineSupplemental\"><a class=\"link link--darken\" data-action=\"open-post\" data-action-source=\"preview-listing\" data-action-value=\"https://medium.com/towards-artificial-intelligence/business-analytics-or-data-science-degree-876a784bc79?source=---------5-----------------------\" href=\"https://medium.com/towards-artificial-intelligence/business-analytics-or-data-science-degree-876a784bc79?source=---------5-----------------------\"><time datetime=\"2020-05-23T03:41:31.126Z\">May 22</time></a><span class=\"middotDivider u-fontSize12\"></span><span class=\"readingTime\" title=\"4 min read\"></span><span class=\"u-paddingLeft4\"><span class=\"svgIcon svgIcon--star svgIcon--15px\"><svg class=\"svgIcon-use\" height=\"15\" width=\"15\"><path d=\"M7.438 2.324c.034-.099.09-.099.123 0l1.2 3.53a.29.29 0 0 0 .26.19h3.884c.11 0 .127.049.038.111L9.8 8.327a.271.271 0 0 0-.099.291l1.2 3.53c.034.1-.011.131-.098.069l-3.142-2.18a.303.303 0 0 0-.32 0l-3.145 2.182c-.087.06-.132.03-.099-.068l1.2-3.53a.271.271 0 0 0-.098-.292L2.056 6.146c-.087-.06-.071-.112.038-.112h3.884a.29.29 0 0 0 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src=\"https://cdn-images-1.medium.com/fit/t/1600/480/1*P1HTGChUirOukCm-RpLuEg.jpeg\"/></div></figure><h4 class=\"graf graf--h4 graf-after--figure graf--kicker\" id=\"0bf3\" name=\"0bf3\">Education</h4><h3 class=\"graf graf--h3 graf-after--h4 graf--title\" id=\"c651\" name=\"c651\">Business Analytics or a Data Science Degree?</h3><h4 class=\"graf graf--h4 graf-after--h3 graf--trailing graf--subtitle\" id=\"e5ac\" name=\"e5ac\">Why a degree in business…</h4></div></div></section></div></a></div><div class=\"postArticle-readMore\"><a class=\"button button--smaller button--chromeless u-baseColor--buttonNormal\" data-action=\"open-post\" data-action-source=\"---------5-----------------------\" data-action-value=\"https://medium.com/towards-artificial-intelligence/business-analytics-or-data-science-degree-876a784bc79?source=---------5-----------------------\" data-post-id=\"876a784bc79\" 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data-action-source=\"---------6-----------------------\" data-action-type=\"hover\" data-action-value=\"towards-artificial-intelligence\" href=\"https://medium.com/towards-artificial-intelligence?source=---------6-----------------------\">Towards AI — Multidisciplinary Science Journal</a><div class=\"ui-caption u-fontSize12 u-baseColor--textNormal u-textColorNormal js-postMetaInlineSupplemental\"><a class=\"link link--darken\" data-action=\"open-post\" data-action-source=\"preview-listing\" data-action-value=\"https://medium.com/towards-artificial-intelligence/4-pathways-to-data-science-56ffec79a7d6?source=---------6-----------------------\" href=\"https://medium.com/towards-artificial-intelligence/4-pathways-to-data-science-56ffec79a7d6?source=---------6-----------------------\"><time datetime=\"2020-05-16T03:02:21.226Z\">May 15</time></a><span class=\"middotDivider u-fontSize12\"></span><span class=\"readingTime\" title=\"5 min read\"></span><span class=\"u-paddingLeft4\"><span class=\"svgIcon svgIcon--star svgIcon--15px\"><svg class=\"svgIcon-use\" height=\"15\" width=\"15\"><path d=\"M7.438 2.324c.034-.099.09-.099.123 0l1.2 3.53a.29.29 0 0 0 .26.19h3.884c.11 0 .127.049.038.111L9.8 8.327a.271.271 0 0 0-.099.291l1.2 3.53c.034.1-.011.131-.098.069l-3.142-2.18a.303.303 0 0 0-.32 0l-3.145 2.182c-.087.06-.132.03-.099-.068l1.2-3.53a.271.271 0 0 0-.098-.292L2.056 6.146c-.087-.06-.071-.112.038-.112h3.884a.29.29 0 0 0 .26-.19l1.2-3.52z\"></path></svg></span></span></div></div></div></div></div><div><a class=\"\" data-action-source=\"---------6-----------------------\" href=\"https://medium.com/towards-artificial-intelligence/4-pathways-to-data-science-56ffec79a7d6?source=---------6-----------------------\"><div class=\"postArticle-content js-postField\"><section class=\"section section--body section--first section--last\"><div class=\"section-divider\"><hr class=\"section-divider\"/></div><div class=\"section-content\"><div class=\"section-inner sectionLayout--insetColumn\"><figure class=\"graf graf--figure graf--layoutCroppedHeightPreview graf--leading\" id=\"previewImage\" name=\"previewImage\"><div class=\"aspectRatioPlaceholder is-locked\"><div class=\"aspectRatioPlaceholder-fill\" style=\"padding-bottom: 30%;\"></div><img class=\"graf-image\" data-height=\"3157\" data-image-id=\"0*oCPBNP3TWdNIpL-I\" data-is-featured=\"true\" data-unsplash-photo-id=\"P1Iz3unD6Po\" data-width=\"5613\" src=\"https://cdn-images-1.medium.com/fit/t/1600/480/0*oCPBNP3TWdNIpL-I\"/></div></figure><h4 class=\"graf graf--h4 graf-after--figure graf--kicker\" id=\"7647\" name=\"7647\">Education</h4><h3 class=\"graf graf--h3 graf-after--h4 graf--title\" id=\"a491\" name=\"a491\">4 Pathways to Data Science</h3><h4 class=\"graf graf--h4 graf-after--h3 graf--trailing graf--subtitle\" id=\"7e40\" name=\"7e40\">It is never too late to jump into data. These…</h4></div></div></section></div></a></div><div class=\"postArticle-readMore\"><a class=\"button 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data-action=\"show-recommends\" data-action-value=\"56ffec79a7d6\">370</button></span></div></div><div class=\"buttonSet u-floatRight\"><a class=\"button button--chromeless u-baseColor--buttonNormal\" data-action-source=\"---------6-----------------------\" href=\"https://medium.com/towards-artificial-intelligence/4-pathways-to-data-science-56ffec79a7d6?source=---------6-----------------------#--responses\">2 responses</a><button class=\"button button--dark button--chromeless is-touchIconFadeInPulse u-baseColor--buttonDark button--withIcon button--withSvgIcon button--bookmark js-bookmarkButton\" data-action=\"add-to-bookmarks\" data-action-value=\"56ffec79a7d6\"><span class=\"js-remove-from-bookmarks u-hide\"><span class=\"svgIcon svgIcon--bookmarkFilled svgIcon--25px is-flushRight\"><svg class=\"svgIcon-use\" height=\"25\" width=\"25\"><path d=\"M19 6c0-1.1-.9-2-2-2H8c-1.1 0-2 .9-2 2v14.66h.012c.01.103.045.204.12.285a.5.5 0 0 0 .706.03L12.5 16.85l5.662 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u-marginBottom15 u-paddingTop5\"><div class=\"postMetaInline u-floatLeft u-sm-maxWidthFullWidth\"><div class=\"u-flexCenter\"><div class=\"postMetaInline-avatar u-flex0\"><a class=\"link u-baseColor--link avatar\" data-action=\"show-user-card\" data-action-type=\"hover\" data-action-value=\"942c3a04129e\" data-user-id=\"942c3a04129e\" dir=\"auto\" href=\"https://medium.com/@ali_razavian\"><div class=\"u-relative u-inlineBlock u-flex0\"><img alt=\"Go to the profile of Ali S. 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Razavian</a> in <a class=\"ds-link ds-link--styleSubtle link--darken link--accent u-accentColor--textNormal\" data-action=\"show-collection-card\" data-action-source=\"---------7-----------------------\" data-action-type=\"hover\" data-action-value=\"towards-artificial-intelligence\" href=\"https://medium.com/towards-artificial-intelligence?source=---------7-----------------------\">Towards AI — Multidisciplinary Science Journal</a><div class=\"ui-caption u-fontSize12 u-baseColor--textNormal u-textColorNormal js-postMetaInlineSupplemental\"><a class=\"link link--darken\" data-action=\"open-post\" data-action-source=\"preview-listing\" data-action-value=\"https://medium.com/towards-artificial-intelligence/how-to-have-a-successful-ph-d-in-machine-learning-dabeaaea4f2f?source=---------7-----------------------\" href=\"https://medium.com/towards-artificial-intelligence/how-to-have-a-successful-ph-d-in-machine-learning-dabeaaea4f2f?source=---------7-----------------------\"><time datetime=\"2020-05-11T13:40:35.139Z\">May 11</time></a><span class=\"middotDivider u-fontSize12\"></span><span class=\"readingTime\" title=\"17 min read\"></span><span class=\"u-paddingLeft4\"><span class=\"svgIcon svgIcon--star svgIcon--15px\"><svg class=\"svgIcon-use\" height=\"15\" width=\"15\"><path d=\"M7.438 2.324c.034-.099.09-.099.123 0l1.2 3.53a.29.29 0 0 0 .26.19h3.884c.11 0 .127.049.038.111L9.8 8.327a.271.271 0 0 0-.099.291l1.2 3.53c.034.1-.011.131-.098.069l-3.142-2.18a.303.303 0 0 0-.32 0l-3.145 2.182c-.087.06-.132.03-.099-.068l1.2-3.53a.271.271 0 0 0-.098-.292L2.056 6.146c-.087-.06-.071-.112.038-.112h3.884a.29.29 0 0 0 .26-.19l1.2-3.52z\"></path></svg></span></span></div></div></div></div></div><div><a class=\"\" data-action-source=\"---------7-----------------------\" href=\"https://medium.com/towards-artificial-intelligence/how-to-have-a-successful-ph-d-in-machine-learning-dabeaaea4f2f?source=---------7-----------------------\"><div class=\"postArticle-content js-postField\"><section class=\"section section--body section--first section--last\"><div class=\"section-divider\"><hr class=\"section-divider\"/></div><div class=\"section-content\"><div class=\"section-inner sectionLayout--insetColumn\"><figure class=\"graf graf--figure graf--layoutCroppedHeightPreview graf--leading\" id=\"previewImage\" name=\"previewImage\"><div class=\"aspectRatioPlaceholder is-locked\"><div class=\"aspectRatioPlaceholder-fill\" style=\"padding-bottom: 30%;\"></div><img class=\"graf-image\" data-height=\"4000\" data-image-id=\"0*eZqx-8pWoFLeM6KB\" data-is-featured=\"true\" data-unsplash-photo-id=\"5B8Pw-t9_Wo\" data-width=\"6000\" src=\"https://cdn-images-1.medium.com/fit/t/1600/480/0*eZqx-8pWoFLeM6KB\"/></div></figure><h4 class=\"graf graf--h4 graf-after--figure graf--kicker\" id=\"90d4\" name=\"90d4\">Education</h4><h3 class=\"graf graf--h3 graf-after--h4 graf--trailing graf--title\" id=\"1233\" name=\"1233\">How to Have a Successful Ph.D. in Machine Learning</h3></div></div></section></div></a></div><div class=\"postArticle-readMore\"><a class=\"button button--smaller button--chromeless u-baseColor--buttonNormal\" data-action=\"open-post\" data-action-source=\"---------7-----------------------\" data-action-value=\"https://medium.com/towards-artificial-intelligence/how-to-have-a-successful-ph-d-in-machine-learning-dabeaaea4f2f?source=---------7-----------------------\" data-post-id=\"dabeaaea4f2f\" href=\"https://medium.com/towards-artificial-intelligence/how-to-have-a-successful-ph-d-in-machine-learning-dabeaaea4f2f?source=---------7-----------------------\">Read more…</a></div><div class=\"u-clearfix u-paddingTop10\"><div class=\"u-floatLeft\"><div class=\"multirecommend js-actionMultirecommend u-flexCenter\" data-is-flush-left=\"true\" data-post-id=\"dabeaaea4f2f\" data-source=\"listing-----dabeaaea4f2f---------------------clap_preview\"><div class=\"u-relative u-foreground\"><button aria-label=\"Clap\" class=\"button 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data-action=\"show-collection-card\" data-action-source=\"---------8-----------------------\" data-action-type=\"hover\" data-action-value=\"towards-artificial-intelligence\" href=\"https://medium.com/towards-artificial-intelligence?source=---------8-----------------------\">Towards AI — Multidisciplinary Science Journal</a><div class=\"ui-caption u-fontSize12 u-baseColor--textNormal u-textColorNormal js-postMetaInlineSupplemental\"><a class=\"link link--darken\" data-action=\"open-post\" data-action-source=\"preview-listing\" data-action-value=\"https://medium.com/towards-artificial-intelligence/data-science-college-degree-or-self-study-fb09f5fbdaac?source=---------8-----------------------\" href=\"https://medium.com/towards-artificial-intelligence/data-science-college-degree-or-self-study-fb09f5fbdaac?source=---------8-----------------------\"><time datetime=\"2020-03-14T17:44:49.071Z\">Mar 14</time></a><span class=\"middotDivider u-fontSize12\"></span><span class=\"readingTime\" title=\"4 min read\"></span><span class=\"u-paddingLeft4\"><span class=\"svgIcon svgIcon--star svgIcon--15px\"><svg class=\"svgIcon-use\" height=\"15\" width=\"15\"><path d=\"M7.438 2.324c.034-.099.09-.099.123 0l1.2 3.53a.29.29 0 0 0 .26.19h3.884c.11 0 .127.049.038.111L9.8 8.327a.271.271 0 0 0-.099.291l1.2 3.53c.034.1-.011.131-.098.069l-3.142-2.18a.303.303 0 0 0-.32 0l-3.145 2.182c-.087.06-.132.03-.099-.068l1.2-3.53a.271.271 0 0 0-.098-.292L2.056 6.146c-.087-.06-.071-.112.038-.112h3.884a.29.29 0 0 0 .26-.19l1.2-3.52z\"></path></svg></span></span></div></div></div></div></div><div><a class=\"\" data-action-source=\"---------8-----------------------\" href=\"https://medium.com/towards-artificial-intelligence/data-science-college-degree-or-self-study-fb09f5fbdaac?source=---------8-----------------------\"><div class=\"postArticle-content js-postField\"><section class=\"section section--body section--first section--last\"><div class=\"section-divider\"><hr class=\"section-divider\"/></div><div class=\"section-content\"><div class=\"section-inner sectionLayout--insetColumn\"><figure class=\"graf graf--figure graf--layoutCroppedHeightPreview graf--leading\" id=\"previewImage\" name=\"previewImage\"><div class=\"aspectRatioPlaceholder is-locked\"><div class=\"aspectRatioPlaceholder-fill\" style=\"padding-bottom: 30%;\"></div><img class=\"graf-image\" data-height=\"1751\" data-image-id=\"0*VeloKusfhDog4UE9\" data-is-featured=\"true\" data-unsplash-photo-id=\"8CqDvPuo_kI\" data-width=\"2626\" src=\"https://cdn-images-1.medium.com/fit/t/1600/480/0*VeloKusfhDog4UE9\"/></div></figure><h3 class=\"graf graf--h3 graf-after--figure graf--title\" id=\"3ceb\" name=\"3ceb\">Data Science College Degree or Self-Study</h3><h4 class=\"graf graf--h4 graf--startsWithDoubleQuote graf-after--h3 graf--trailing graf--subtitle\" id=\"a701\" name=\"a701\">“You don’t need college to learn stuff. The value is seeing…</h4></div></div></section></div></a></div><div class=\"postArticle-readMore\"><a class=\"button button--smaller button--chromeless u-baseColor--buttonNormal\" data-action=\"open-post\" data-action-source=\"---------8-----------------------\" data-action-value=\"https://medium.com/towards-artificial-intelligence/data-science-college-degree-or-self-study-fb09f5fbdaac?source=---------8-----------------------\" data-post-id=\"fb09f5fbdaac\" href=\"https://medium.com/towards-artificial-intelligence/data-science-college-degree-or-self-study-fb09f5fbdaac?source=---------8-----------------------\">Read more…</a></div><div class=\"u-clearfix u-paddingTop10\"><div class=\"u-floatLeft\"><div class=\"multirecommend js-actionMultirecommend u-flexCenter\" data-is-flush-left=\"true\" data-post-id=\"fb09f5fbdaac\" data-source=\"listing-----fb09f5fbdaac---------------------clap_preview\"><div class=\"u-relative u-foreground\"><button aria-label=\"Clap\" class=\"button 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is-flushRight\"><svg class=\"svgIcon-use\" height=\"25\" width=\"25\"><path d=\"M19 6c0-1.1-.9-2-2-2H8c-1.1 0-2 .9-2 2v14.66h.012c.01.103.045.204.12.285a.5.5 0 0 0 .706.03L12.5 16.85l5.662 4.126a.508.508 0 0 0 .708-.03.5.5 0 0 0 .118-.285H19V6zm-6.838 9.97L7 19.636V6c0-.55.45-1 1-1h9c.55 0 1 .45 1 1v13.637l-5.162-3.668a.49.49 0 0 0-.676 0z\" fill-rule=\"evenodd\"></path></svg></span></span></button></div></div></div></div></div>,\n"," <div class=\"streamItem streamItem--postPreview js-streamItem\"><div class=\"cardChromeless u-marginTop20 u-paddingTop10 u-paddingBottom15 u-paddingLeft20 u-paddingRight20\"><div class=\"postArticle postArticle--short js-postArticle js-trackPostPresentation js-trackPostScrolls\" data-post-id=\"b56c721d7c57\" data-source=\"---------9-----------------------\"><div class=\"u-clearfix u-marginBottom15 u-paddingTop5\"><div class=\"postMetaInline u-floatLeft u-sm-maxWidthFullWidth\"><div class=\"u-flexCenter\"><div class=\"postMetaInline-avatar u-flex0\"><a class=\"link u-baseColor--link avatar\" data-action=\"show-user-card\" data-action-type=\"hover\" data-action-value=\"7cc87df5b1\" data-user-id=\"7cc87df5b1\" dir=\"auto\" href=\"https://medium.com/@dpoulopoulos\"><div class=\"u-relative u-inlineBlock u-flex0\"><img alt=\"Go to the profile of Dimitris Poulopoulos\" class=\"avatar-image u-size36x36 u-xs-size32x32\" src=\"https://cdn-images-1.medium.com/fit/c/72/72/0*SFI8OFVkiCx18BqR.\"/><div class=\"avatar-halo u-absolute u-textColorGreenNormal svgIcon\" style=\" display:flex; flex-direction:row; align-items: center; justify-content: center; height:calc(100% + 25px); width:calc(100% + 25px); pointer-events: none; top:50%; left:50%; transform:translateY(-50%) translateX(-50%); \"><svg height=\"39\" style=\"width: calc(100% - 18px); height: calc(100% - 18px);\" viewbox=\"0 0 39 39\" width=\"39\" xmlns=\"http://www.w3.org/2000/svg\"><path clip-rule=\"evenodd\" d=\"M19.5 1C11.8339 1 5.168 5.74599 1.90845 12.7115L1 12.2885C4.40345 5.01551 11.3974 0 19.5 0C27.6026 0 34.5966 5.01551 38 12.2885L37.0915 12.7115C33.832 5.74599 27.1661 1 19.5 1ZM1.90845 26.2885C5.168 33.254 11.8339 38 19.5 38C27.1661 38 33.832 33.254 37.0915 26.2885L38 26.7115C34.5966 33.9845 27.6026 39 19.5 39C11.3974 39 4.40345 33.9845 1 26.7115L1.90845 26.2885Z\" fill-rule=\"evenodd\"></path></svg></div></div></a></div><div class=\"postMetaInline postMetaInline-authorLockup ui-captionStrong u-flex1 u-noWrapWithEllipsis\"><a class=\"ds-link ds-link--styleSubtle link link--darken link--accent u-accentColor--textNormal u-accentColor--textDarken\" data-action=\"show-user-card\" data-action-source=\"---------9-----------------------\" data-action-type=\"hover\" data-action-value=\"7cc87df5b1\" data-user-id=\"7cc87df5b1\" dir=\"auto\" href=\"https://medium.com/@dpoulopoulos?source=---------9-----------------------\">Dimitris Poulopoulos</a> in <a class=\"ds-link ds-link--styleSubtle link--darken link--accent u-accentColor--textNormal\" data-action=\"show-collection-card\" data-action-source=\"---------9-----------------------\" data-action-type=\"hover\" data-action-value=\"towards-artificial-intelligence\" href=\"https://medium.com/towards-artificial-intelligence?source=---------9-----------------------\">Towards AI — Multidisciplinary Science Journal</a><div class=\"ui-caption u-fontSize12 u-baseColor--textNormal u-textColorNormal js-postMetaInlineSupplemental\"><a class=\"link link--darken\" data-action=\"open-post\" data-action-source=\"preview-listing\" data-action-value=\"https://medium.com/towards-artificial-intelligence/machine-learning-in-plain-english-b56c721d7c57?source=---------9-----------------------\" href=\"https://medium.com/towards-artificial-intelligence/machine-learning-in-plain-english-b56c721d7c57?source=---------9-----------------------\"><time datetime=\"2020-03-14T18:29:49.051Z\">Mar 14</time></a><span class=\"middotDivider u-fontSize12\"></span><span class=\"readingTime\" title=\"7 min read\"></span><span class=\"u-paddingLeft4\"><span class=\"svgIcon svgIcon--star svgIcon--15px\"><svg class=\"svgIcon-use\" height=\"15\" width=\"15\"><path d=\"M7.438 2.324c.034-.099.09-.099.123 0l1.2 3.53a.29.29 0 0 0 .26.19h3.884c.11 0 .127.049.038.111L9.8 8.327a.271.271 0 0 0-.099.291l1.2 3.53c.034.1-.011.131-.098.069l-3.142-2.18a.303.303 0 0 0-.32 0l-3.145 2.182c-.087.06-.132.03-.099-.068l1.2-3.53a.271.271 0 0 0-.098-.292L2.056 6.146c-.087-.06-.071-.112.038-.112h3.884a.29.29 0 0 0 .26-.19l1.2-3.52z\"></path></svg></span></span></div></div></div></div></div><div><a class=\"\" data-action-source=\"---------9-----------------------\" href=\"https://medium.com/towards-artificial-intelligence/machine-learning-in-plain-english-b56c721d7c57?source=---------9-----------------------\"><div class=\"postArticle-content js-postField\"><section class=\"section section--body section--first section--last\"><div class=\"section-divider\"><hr class=\"section-divider\"/></div><div class=\"section-content\"><div class=\"section-inner sectionLayout--insetColumn\"><figure class=\"graf graf--figure graf--layoutCroppedHeightPreview graf--leading\" id=\"previewImage\" name=\"previewImage\"><div class=\"aspectRatioPlaceholder is-locked\"><div class=\"aspectRatioPlaceholder-fill\" style=\"padding-bottom: 30%;\"></div><img class=\"graf-image\" data-height=\"3648\" data-image-id=\"1*H5t3IbdLTSyw6TdAt-rSzg.jpeg\" data-is-featured=\"true\" data-width=\"5472\" src=\"https://cdn-images-1.medium.com/fit/t/1600/480/1*H5t3IbdLTSyw6TdAt-rSzg.jpeg\"/></div></figure><h3 class=\"graf graf--h3 graf-after--figure graf--title\" id=\"9238\" name=\"9238\">Machine Learning in Plain English</h3><h4 class=\"graf graf--h4 graf-after--h3 graf--trailing graf--subtitle\" id=\"7512\" name=\"7512\">Explain machine learning like I’m five years old.</h4></div></div></section></div></a></div><div class=\"postArticle-readMore\"><a class=\"button button--smaller button--chromeless u-baseColor--buttonNormal\" data-action=\"open-post\" data-action-source=\"---------9-----------------------\" data-action-value=\"https://medium.com/towards-artificial-intelligence/machine-learning-in-plain-english-b56c721d7c57?source=---------9-----------------------\" data-post-id=\"b56c721d7c57\" href=\"https://medium.com/towards-artificial-intelligence/machine-learning-in-plain-english-b56c721d7c57?source=---------9-----------------------\">Read more…</a></div><div class=\"u-clearfix u-paddingTop10\"><div class=\"u-floatLeft\"><div class=\"multirecommend js-actionMultirecommend u-flexCenter\" data-is-flush-left=\"true\" data-post-id=\"b56c721d7c57\" data-source=\"listing-----b56c721d7c57---------------------clap_preview\"><div class=\"u-relative u-foreground\"><button aria-label=\"Clap\" class=\"button button--primary button--chromeless u-accentColor--buttonNormal button--withIcon button--withSvgIcon clapButton js-actionMultirecommendButton clapButton--darker\" data-action=\"sign-up-prompt\" data-action-source=\"listing-----b56c721d7c57---------------------clap_preview\" data-redirect=\"https://medium.com/_/vote/p/b56c721d7c57\" data-requires-token=\"true\" data-sign-in-action=\"multivote\"><span class=\"button-defaultState\"><span class=\"svgIcon svgIcon--clap svgIcon--25px is-flushLeft\"><svg class=\"svgIcon-use\" height=\"25\" width=\"25\"><g fill-rule=\"evenodd\"><path d=\"M11.739 0l.761 2.966L13.261 0z\"></path><path d=\"M14.815 3.776l1.84-2.551-1.43-.471z\"></path><path d=\"M8.378 1.224l1.84 2.551L9.81.753z\"></path><path d=\"M20.382 21.622c-1.04 1.04-2.115 1.507-3.166 1.608.168-.14.332-.29.492-.45 2.885-2.886 3.456-5.982 1.69-9.211l-1.101-1.937-.955-2.02c-.315-.676-.235-1.185.245-1.556a.836.836 0 0 1 .66-.16c.342.056.66.28.879.605l2.856 5.023c1.179 1.962 1.379 5.119-1.6 8.098m-13.29-.528l-5.02-5.02a1 1 0 0 1 .707-1.701c.255 0 .512.098.707.292l2.607 2.607a.442.442 0 0 0 .624-.624L4.11 14.04l-1.75-1.75a.998.998 0 1 1 1.41-1.413l4.154 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data-action=\"show-recommends\" data-action-value=\"b56c721d7c57\">179</button></span></div></div><div class=\"buttonSet u-floatRight\"><button class=\"button button--dark button--chromeless is-touchIconFadeInPulse u-baseColor--buttonDark button--withIcon button--withSvgIcon button--bookmark js-bookmarkButton\" data-action=\"add-to-bookmarks\" data-action-value=\"b56c721d7c57\"><span class=\"js-remove-from-bookmarks u-hide\"><span class=\"svgIcon svgIcon--bookmarkFilled svgIcon--25px is-flushRight\"><svg class=\"svgIcon-use\" height=\"25\" width=\"25\"><path d=\"M19 6c0-1.1-.9-2-2-2H8c-1.1 0-2 .9-2 2v14.66h.012c.01.103.045.204.12.285a.5.5 0 0 0 .706.03L12.5 16.85l5.662 4.126c.205.183.52.17.708-.03a.5.5 0 0 0 .118-.285H19V6z\"></path></svg></span></span><span class=\"js-add-to-bookmarks\"><span class=\"svgIcon svgIcon--bookmark svgIcon--25px is-flushRight\"><svg class=\"svgIcon-use\" height=\"25\" width=\"25\"><path d=\"M19 6c0-1.1-.9-2-2-2H8c-1.1 0-2 .9-2 2v14.66h.012c.01.103.045.204.12.285a.5.5 0 0 0 .706.03L12.5 16.85l5.662 4.126a.508.508 0 0 0 .708-.03.5.5 0 0 0 .118-.285H19V6zm-6.838 9.97L7 19.636V6c0-.55.45-1 1-1h9c.55 0 1 .45 1 1v13.637l-5.162-3.668a.49.49 0 0 0-.676 0z\" fill-rule=\"evenodd\"></path></svg></span></span></button></div></div></div></div></div>]"]},"metadata":{"tags":[]},"execution_count":88}]},{"cell_type":"code","metadata":{"id":"1qfYfRaJGPXQ","colab_type":"code","outputId":"fbcb0224-8a06-415c-9756-a73e5f7e213e","executionInfo":{"status":"ok","timestamp":1592177590537,"user_tz":-120,"elapsed":881,"user":{"displayName":"Michelangiolo Mazzeschi","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Ghg8l8QeAQA6fd1iPVc2f_F0XQpum7zRjrF4R7HRw=s64","userId":"15738155355555420240"}},"colab":{"base_uri":"https://localhost:8080/","height":187}},"source":["list1 = list()\n","for link in job_elems:\n","  for m in link.find_all('a', href=True):\n","    list1.append(m['href'])\n","list1\n","\n","list2 = list()\n","for m in list1:\n","  if '@' not in m:\n","    if 'https://medium.com/towards-artificial-intelligence?source=' not in m:\n","      if '--responses' not in m:\n","        list2.append(m)\n","list2 = list(dict.fromkeys(list2))\n","list2"],"execution_count":89,"outputs":[{"output_type":"execute_result","data":{"text/plain":["['https://medium.com/towards-artificial-intelligence/quantitative-ability-a-requirement-for-data-science-business-analytics-programs-bc17926581a3?source=---------0-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/teaching-physics-with-zoom-99291fd8614a?source=---------1-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/data-science-mooc-are-too-superficial-1ca90db7787a?source=---------2-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/3-levels-of-data-science-5a5dbb99cfbb?source=---------3-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/moocs-vs-academia-ensuring-success-starting-in-a-machine-learning-ml-career-304b2e42315e?source=---------4-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/business-analytics-or-data-science-degree-876a784bc79?source=---------5-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/4-pathways-to-data-science-56ffec79a7d6?source=---------6-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/how-to-have-a-successful-ph-d-in-machine-learning-dabeaaea4f2f?source=---------7-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/data-science-college-degree-or-self-study-fb09f5fbdaac?source=---------8-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/machine-learning-in-plain-english-b56c721d7c57?source=---------9-----------------------']"]},"metadata":{"tags":[]},"execution_count":89}]},{"cell_type":"code","metadata":{"id":"arMiyzClMNIy","colab_type":"code","colab":{}},"source":["list_general = list()\n","for _ in list2:\n","  list_general.append(_)"],"execution_count":0,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"f1rtbaSJMXUh","colab_type":"text"},"source":["##all tags"]},{"cell_type":"code","metadata":{"colab_type":"code","id":"BrJmvjx9Marl","colab":{}},"source":["https://medium.com/towards-artificial-intelligence/archive\n","Tags = ['technology','hacking','cybersecurity','machine-learning','artificial-intelligence','university','education','research']"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"colab_type":"code","id":"W0gm1Ko6Maro","colab":{"base_uri":"https://localhost:8080/","height":187},"outputId":"a3f1c091-7de3-4781-906e-883548e7c281","executionInfo":{"status":"ok","timestamp":1592178055530,"user_tz":-120,"elapsed":5880,"user":{"displayName":"Michelangiolo Mazzeschi","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Ghg8l8QeAQA6fd1iPVc2f_F0XQpum7zRjrF4R7HRw=s64","userId":"15738155355555420240"}}},"source":["import requests\n","from bs4 import BeautifulSoup\n","\n","list_general = list()\n","for ilink in Tags:\n","  print(ilink)\n","  list2 = req('https://medium.com/towards-artificial-intelligence/tagged/'+ilink)\n","\n","  for _ in list2:\n","    list_general.append(_)\n","  list_general"],"execution_count":96,"outputs":[{"output_type":"stream","text":["Technology\n","Hacking\n","Cybersecurity\n","Machine Learning\n","Artificial Intelligence\n","University\n","Education\n","Research\n","Artificial Intelligence\n","Machine Learning\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"HzeKF8aNNSkD","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":34},"outputId":"37000ffe-642d-4331-827d-898cb5e84ab7","executionInfo":{"status":"ok","timestamp":1592178076459,"user_tz":-120,"elapsed":883,"user":{"displayName":"Michelangiolo Mazzeschi","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Ghg8l8QeAQA6fd1iPVc2f_F0XQpum7zRjrF4R7HRw=s64","userId":"15738155355555420240"}}},"source":["len(list_general)"],"execution_count":99,"outputs":[{"output_type":"execute_result","data":{"text/plain":["79"]},"metadata":{"tags":[]},"execution_count":99}]},{"cell_type":"markdown","metadata":{"id":"q6GokMtOPwUx","colab_type":"text"},"source":["actionscope non in soup\n","![image.png]()"]},{"cell_type":"code","metadata":{"id":"P075-JGlNXlI","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":1000},"outputId":"b1ff5c22-6ece-404c-fb61-d368ebff3e80","executionInfo":{"status":"ok","timestamp":1592178083789,"user_tz":-120,"elapsed":899,"user":{"displayName":"Michelangiolo Mazzeschi","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Ghg8l8QeAQA6fd1iPVc2f_F0XQpum7zRjrF4R7HRw=s64","userId":"15738155355555420240"}}},"source":["list_general"],"execution_count":100,"outputs":[{"output_type":"execute_result","data":{"text/plain":["['https://medium.com/towards-artificial-intelligence/loading-different-data-files-in-python-b6385320c0f5?source=---------0-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/gather-ai-revolutionizing-inventory-management-one-drone-at-a-time-461aedfe8759?source=---------1-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/jupyter-awesome-tips-tricks-and-shortcuts-ed3ddf7a6b13?source=---------2-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/how-i-developed-a-game-using-computer-vision-18409a39a1f3?source=---------3-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/how-control-allocation-for-multirotor-systems-works-46473e371874?source=---------4-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/scrum-101-increase-your-value-8ab304d2a731?source=---------5-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/ai-and-the-future-of-journalism-591b1c9ea6b8?source=---------6-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/having-a-hard-time-building-the-perfect-model-bc94ec380ac0?source=---------7-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/meme-generator-memegen-using-deep-learning-d133e6fc363f?source=---------8-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/towards-ai-categories-d59922a80d8e?source=---------9-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/you-guys-ask-way-better-questions-than-mainstream-media-elon-musk-on-hack-clubs-high-school-f4b5eb46e40e?source=---------0-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/breaking-captcha-using-machine-learning-in-0-05-seconds-9feefb997694?source=---------1-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/the-role-of-ai-in-cybersecurity-6a35ef30f89a?source=---------0-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/making-the-smart-bet-on-cybersecurity-977841363a05?source=---------1-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/limitations-of-deep-learning-in-ai-research-5eed166a4205?source=---------2-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/breaking-captcha-using-machine-learning-in-0-05-seconds-9feefb997694?source=---------3-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/deploying-machine-learning-models-as-api-using-aws-a25d05518084?source=---------0-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/beginner-guides-to-convolutional-neural-network-from-scratch-kuzushiji-mnist-75f42c175b21?source=---------1-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/multicollinearity-a-foeman-of-machine-learning-regression-result-ec8035a663c0?source=---------2-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/predict-the-stock-trend-using-deep-learning-5a4b7df1d152?source=---------3-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/ai-sustainability-tweets-sentiment-analysis-using-pre-trained-models-8669f8ba70ed?source=---------4-----------------------',\n"," 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'https://medium.com/towards-artificial-intelligence/data-science-mooc-are-too-superficial-1ca90db7787a?source=---------2-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/3-levels-of-data-science-5a5dbb99cfbb?source=---------3-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/moocs-vs-academia-ensuring-success-starting-in-a-machine-learning-ml-career-304b2e42315e?source=---------4-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/business-analytics-or-data-science-degree-876a784bc79?source=---------5-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/4-pathways-to-data-science-56ffec79a7d6?source=---------6-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/how-to-have-a-successful-ph-d-in-machine-learning-dabeaaea4f2f?source=---------7-----------------------',\n"," 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'https://medium.com/towards-artificial-intelligence/d2-net-matching-problem-among-images-under-an-extreme-appearance-changes-9f059f33a2ef?source=---------4-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/history-of-the-machine-learning-department-at-carnegie-mellon-1998e0ea6c37?source=---------5-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/top-universities-to-pursue-a-masters-in-machine-learning-ml-in-the-us-ai-d4a461229fbb?source=---------6-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/autonomization-the-future-of-jobs-330d36deb4db?source=---------7-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/best-universities-to-pursue-a-phd-in-machine-learning-in-the-us-artificial-intelligence-ai-ml-ffb745a1554a?source=---------8-----------------------',\n"," 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'https://medium.com/towards-artificial-intelligence/using-artificial-neural-network-for-air-quality-prediction-95ff4594e049?source=---------5-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/object-detection-most-important-b-detectors-and-use-cases-for-smart-cities-900640608b19?source=---------6-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/underfitting-overfitting-the-thwarts-of-machine-learning-models-accuracy-2873765e29d0?source=---------7-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/intro-to-neural-network-brilliant-org-fcf47687918f?source=---------8-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/loading-different-data-files-in-python-b6385320c0f5?source=---------9-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/deploying-machine-learning-models-as-api-using-aws-a25d05518084?source=---------0-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/beginner-guides-to-convolutional-neural-network-from-scratch-kuzushiji-mnist-75f42c175b21?source=---------1-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/multicollinearity-a-foeman-of-machine-learning-regression-result-ec8035a663c0?source=---------2-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/predict-the-stock-trend-using-deep-learning-5a4b7df1d152?source=---------3-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/ai-sustainability-tweets-sentiment-analysis-using-pre-trained-models-8669f8ba70ed?source=---------4-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/using-artificial-neural-network-for-air-quality-prediction-95ff4594e049?source=---------5-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/underfitting-overfitting-the-thwarts-of-machine-learning-models-accuracy-2873765e29d0?source=---------6-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/quantitative-ability-a-requirement-for-data-science-business-analytics-programs-bc17926581a3?source=---------7-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/understanding-iou-metric-in-object-detection-1e5532f06a76?source=---------8-----------------------',\n"," 'https://medium.com/towards-artificial-intelligence/loading-different-data-files-in-python-b6385320c0f5?source=---------9-----------------------']"]},"metadata":{"tags":[]},"execution_count":100}]},{"cell_type":"code","metadata":{"colab_type":"code","id":"S1ewhBOmMarw","colab":{}},"source":["def req(URL):\n","  page = requests.get(URL)\n","\n","  soup = BeautifulSoup(page.content, 'html.parser')\n","\n","  job_elems = soup.find_all(class_='streamItem streamItem--postPreview js-streamItem')\n","  job_elems\n","\n","  list1 = list()\n","  for link in job_elems:\n","    for m in link.find_all('a', href=True):\n","      list1.append(m['href'])\n","  list1\n","\n","  list2 = list()\n","  for m in list1:\n","    if '@' not in m:\n","      if 'https://medium.com/towards-artificial-intelligence?source=' not in m:\n","        if '--responses' not in m:\n","          list2.append(m)\n","  list2 = list(dict.fromkeys(list2))\n","  return list2"],"execution_count":0,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"F_kMKTCuNeKI","colab_type":"text"},"source":["##text in one article"]},{"cell_type":"code","metadata":{"id":"458S5cVWNgEJ","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":309},"outputId":"2465215f-a5f7-4805-ed88-7d7b88269ca5","executionInfo":{"status":"ok","timestamp":1592179867055,"user_tz":-120,"elapsed":2418,"user":{"displayName":"Michelangiolo Mazzeschi","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Ghg8l8QeAQA6fd1iPVc2f_F0XQpum7zRjrF4R7HRw=s64","userId":"15738155355555420240"}}},"source":["#non posso accedere al HTML di un articolo medium\n","URL = 'https://medium.com/towards-artificial-intelligence/having-a-hard-time-building-the-perfect-model-bc94ec380ac0'\n","page = requests.get(URL)\n","\n","soup = BeautifulSoup(page.content, 'html.parser')\n","soup"],"execution_count":107,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<!DOCTYPE doctype html>\n","<html lang=\"en\"><head><script>!function(c,f){var t,o,i,e=[],r={passive:!0,capture:!0},n=new Date,a=\"pointerup\",u=\"pointercancel\";function p(n,e){t||(t=e,o=n,i=new Date,w(f),s())}function s(){0<=o&&o<i-n&&(e.forEach(function(n){n(o,t)}),e=[])}function l(n){if(n.cancelable){var e=(1e12<n.timeStamp?new Date:performance.now())-n.timeStamp;\"pointerdown\"==n.type?function(n,e){function t(){p(n,e),i()}function o(){i()}function i(){f(a,t,r),f(u,o,r)}c(a,t,r),c(u,o,r)}(e,n):p(e,n)}}function w(e){[\"click\",\"mousedown\",\"keydown\",\"touchstart\",\"pointerdown\"].forEach(function(n){e(n,l,r)})}w(c),self.perfMetrics=self.perfMetrics||{},self.perfMetrics.onFirstInputDelay=function(n){e.push(n),s()}}(addEventListener,removeEventListener)</script><script defer=\"\" src=\"https://cdn.optimizely.com/js/16180790160.js\"></script><title data-rh=\"true\">Having a Hard Time Building the Perfect Model? - Towards AI — Multidisciplinary Science Journal - Medium</title><meta 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professionals found that data scientists spend about 40% of gathering and cleaning data, 20%…\" data-rh=\"true\" property=\"og:description\"/><meta content=\"Results of a recent study of over 23,000 data professionals found that data scientists spend about 40% of gathering and cleaning data, 20%…\" data-rh=\"true\" property=\"twitter:description\"/><meta content=\"https://medium.com/towards-artificial-intelligence/having-a-hard-time-building-the-perfect-model-bc94ec380ac0\" data-rh=\"true\" property=\"og:url\"/><meta content=\"https://medium.com/towards-artificial-intelligence/having-a-hard-time-building-the-perfect-model-bc94ec380ac0\" data-rh=\"true\" property=\"al:web:url\"/><meta content=\"https://miro.medium.com/max/1200/1*wJYo_EDhLwvkPoC4ly2R2g.jpeg\" data-rh=\"true\" property=\"og:image\"/><meta content=\"https://miro.medium.com/max/1200/1*wJYo_EDhLwvkPoC4ly2R2g.jpeg\" data-rh=\"true\" name=\"twitter:image:src\"/><meta content=\"summary_large_image\" data-rh=\"true\" 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-->7<!-- --> min read</div></span></span></div></div><div class=\"n gg gh gi gj gk gl gm gn y\"><div class=\"n o\"><div class=\"go r ao\"><button class=\"cq cr ba bb bc bd be bf bg bh gp gq bk fl fm\"><svg class=\"q\" height=\"29\" width=\"29\"><path d=\"M22.05 7.54a4.47 4.47 0 0 0-3.3-1.46 4.53 4.53 0 0 0-4.53 4.53c0 .35.04.7.08 1.05A12.9 12.9 0 0 1 5 6.89a5.1 5.1 0 0 0-.65 2.26c.03 1.6.83 2.99 2.02 3.79a4.3 4.3 0 0 1-2.02-.57v.08a4.55 4.55 0 0 0 3.63 4.44c-.4.08-.8.13-1.21.16l-.81-.08a4.54 4.54 0 0 0 4.2 3.15 9.56 9.56 0 0 1-5.66 1.94l-1.05-.08c2 1.27 4.38 2.02 6.94 2.02 8.3 0 12.86-6.9 12.84-12.85.02-.24 0-.43 0-.65a8.68 8.68 0 0 0 2.26-2.34c-.82.38-1.7.62-2.6.72a4.37 4.37 0 0 0 1.95-2.51c-.84.53-1.81.9-2.83 1.13z\"></path></svg></button></div><div class=\"go r ao\"><button class=\"cq cr ba bb bc bd be bf bg bh gp gq bk fl fm\"><svg class=\"q\" fill=\"none\" height=\"29\" viewbox=\"0 0 29 29\" width=\"29\"><path d=\"M5 6.36C5 5.61 5.63 5 6.4 5h16.2c.77 0 1.4.61 1.4 1.36v16.28c0 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src=\"https://miro.medium.com/max/60/1*wJYo_EDhLwvkPoC4ly2R2g.jpeg?q=20\" width=\"1920\"/></div><img class=\"gz ha s t u hb ai hm\" height=\"1280\" role=\"presentation\" sizes=\"1920px\" srcset=\"https://miro.medium.com/max/552/1*wJYo_EDhLwvkPoC4ly2R2g.jpeg 276w, https://miro.medium.com/max/1104/1*wJYo_EDhLwvkPoC4ly2R2g.jpeg 552w, https://miro.medium.com/max/1280/1*wJYo_EDhLwvkPoC4ly2R2g.jpeg 640w, https://miro.medium.com/max/1456/1*wJYo_EDhLwvkPoC4ly2R2g.jpeg 728w, https://miro.medium.com/max/1632/1*wJYo_EDhLwvkPoC4ly2R2g.jpeg 816w, https://miro.medium.com/max/1808/1*wJYo_EDhLwvkPoC4ly2R2g.jpeg 904w, https://miro.medium.com/max/1984/1*wJYo_EDhLwvkPoC4ly2R2g.jpeg 992w, https://miro.medium.com/max/2160/1*wJYo_EDhLwvkPoC4ly2R2g.jpeg 1080w, https://miro.medium.com/max/2700/1*wJYo_EDhLwvkPoC4ly2R2g.jpeg 1350w, https://miro.medium.com/max/3240/1*wJYo_EDhLwvkPoC4ly2R2g.jpeg 1620w, https://miro.medium.com/max/3780/1*wJYo_EDhLwvkPoC4ly2R2g.jpeg 1890w, https://miro.medium.com/max/3840/1*wJYo_EDhLwvkPoC4ly2R2g.jpeg 1920w\" width=\"1920\"/><noscript><img class=\"s t u hb ai\" height=\"1280\" role=\"presentation\" sizes=\"1920px\" src=\"https://miro.medium.com/max/3840/1*wJYo_EDhLwvkPoC4ly2R2g.jpeg\" srcset=\"https://miro.medium.com/max/552/1*wJYo_EDhLwvkPoC4ly2R2g.jpeg 276w, https://miro.medium.com/max/1104/1*wJYo_EDhLwvkPoC4ly2R2g.jpeg 552w, https://miro.medium.com/max/1280/1*wJYo_EDhLwvkPoC4ly2R2g.jpeg 640w, https://miro.medium.com/max/1456/1*wJYo_EDhLwvkPoC4ly2R2g.jpeg 728w, https://miro.medium.com/max/1632/1*wJYo_EDhLwvkPoC4ly2R2g.jpeg 816w, https://miro.medium.com/max/1808/1*wJYo_EDhLwvkPoC4ly2R2g.jpeg 904w, https://miro.medium.com/max/1984/1*wJYo_EDhLwvkPoC4ly2R2g.jpeg 992w, https://miro.medium.com/max/2160/1*wJYo_EDhLwvkPoC4ly2R2g.jpeg 1080w, https://miro.medium.com/max/2700/1*wJYo_EDhLwvkPoC4ly2R2g.jpeg 1350w, https://miro.medium.com/max/3240/1*wJYo_EDhLwvkPoC4ly2R2g.jpeg 1620w, https://miro.medium.com/max/3780/1*wJYo_EDhLwvkPoC4ly2R2g.jpeg 1890w, https://miro.medium.com/max/3840/1*wJYo_EDhLwvkPoC4ly2R2g.jpeg 1920w\" width=\"1920\"/></noscript></div></div><figcaption class=\"hn ho de dc dd hp hq ar cl fe at aw\">Credits: <a class=\"cq gf hr hs ht hu\" href=\"https://unsplash.com/@aronvisuals\" rel=\"noopener nofollow\" target=\"_blank\">Aron Visuals</a> from <a class=\"cq gf hr hs ht hu\" href=\"https://unsplash.com/\" rel=\"noopener nofollow\" target=\"_blank\">Unsplash</a></figcaption></figure></div><div class=\"n p\"><div class=\"z ab ac ae af dp ah ai\"><p class=\"hv ij eb as hx b hy hz ik ia ib il ic id im ie if in ig ih io ii dk\" id=\"3f23\">Results of a <a class=\"cq gf hr hs ht hu\" href=\"https://businessoverbroadway.com/2019/02/19/how-do-data-professionals-spend-their-time-on-data-science-projects/\" rel=\"noopener nofollow\" target=\"_blank\">recent study </a>of over 23,000 data professionals found that data scientists spend about 40% of gathering and cleaning data, 20% of their time building and selecting models, and 11% of their time finding insights and communicating them to stakes holders. As a beginner, you might be having a hard time finding the perfect model for your problem statement.</p><p class=\"hv ij eb as hx b hy hz ik ia ib il ic id im ie if in ig ih io ii dk\" id=\"1b18\">So here I present you <a class=\"cq gf hr hs ht hu\" href=\"https://pycaret.org/\" rel=\"noopener nofollow\" target=\"_blank\">PyCaret</a> an open-source and low code machine learning in Python that allows you to go from preparing your data to deploying your model within seconds in your choice of notebook environment.</p><figure class=\"gu gv gw gx gy gt dc dd paragraph-image\"><div class=\"iq ir hf is ai\"><div class=\"dc dd ip\"><div class=\"he r hf hg\"><div class=\"it hi r\"><div class=\"gz ha s t u hb ai br hc hd\"><img class=\"s t u hb ai hj hk hl\" height=\"656\" role=\"presentation\" src=\"https://miro.medium.com/max/60/0*qh_TL5MzvoWt3FWw.png?q=20\" width=\"1166\"/></div><img class=\"gz ha s t u hb ai hm\" height=\"656\" role=\"presentation\" sizes=\"700px\" srcset=\"https://miro.medium.com/max/552/0*qh_TL5MzvoWt3FWw.png 276w, https://miro.medium.com/max/1104/0*qh_TL5MzvoWt3FWw.png 552w, https://miro.medium.com/max/1280/0*qh_TL5MzvoWt3FWw.png 640w, https://miro.medium.com/max/1400/0*qh_TL5MzvoWt3FWw.png 700w\" width=\"1166\"/><noscript><img class=\"s t u hb ai\" height=\"656\" role=\"presentation\" sizes=\"700px\" src=\"https://miro.medium.com/max/2332/0*qh_TL5MzvoWt3FWw.png\" srcset=\"https://miro.medium.com/max/552/0*qh_TL5MzvoWt3FWw.png 276w, https://miro.medium.com/max/1104/0*qh_TL5MzvoWt3FWw.png 552w, https://miro.medium.com/max/1280/0*qh_TL5MzvoWt3FWw.png 640w, https://miro.medium.com/max/1400/0*qh_TL5MzvoWt3FWw.png 700w\" width=\"1166\"/></noscript></div></div></div></div><figcaption class=\"hn ho de dc dd hp hq ar cl fe at aw\">Copyright: <a class=\"cq gf hr hs ht hu\" href=\"https://pycaret.org/\" rel=\"noopener nofollow\" target=\"_blank\">PyCaret</a></figcaption></figure><p class=\"hv ij eb as hx b hy hz ik ia ib il ic id im ie if in ig ih io ii dk\" id=\"a4a6\"><strong class=\"hx iu\"><em class=\"iv\">PyCaret library has everything a data scientist would need.</em></strong></p><p class=\"hv ij eb as hx b hy hz ik ia ib il ic id im ie if in ig ih io ii dk\" id=\"84d1\">Quickly let us get into the installation and build a perfect model.</p><figure class=\"gu gv gw gx gy gt\"><div class=\"he r hf\"><div class=\"iw hi r\"></div></div><figcaption class=\"hn ho de dc dd hp hq ar cl fe at aw\">Source : <a class=\"cq gf hr hs ht hu\" href=\"https://giphy.com/\" rel=\"noopener nofollow\" target=\"_blank\">GIPHY</a></figcaption></figure><h2 class=\"dq dr eb as ar ix iy iz ja jb jc jd je jf jg jh dx\" id=\"68a6\">Step 1: Create a Virtual Environment</h2><p class=\"hv ij eb as hx b hy ji ik ia jj il ic jk im ie jl in ig jm io ii dk\" id=\"1e44\">A virtual environment like python3 virtual environment or Conda environments is recommended to use. So that does not conflict with other packages installed. The advantage of using a virtual environment is we can download a specific version of any library we want to use.</p><figure class=\"gu gv gw gx gy gt dc dd paragraph-image\"><div class=\"iq ir hf is ai\"><div class=\"dc dd jn\"><div class=\"he r hf hg\"><div class=\"jo hi r\"><div class=\"gz ha s t u hb ai br hc hd\"><img class=\"s t u hb ai hj hk hl\" height=\"201\" role=\"presentation\" src=\"https://miro.medium.com/max/60/1*1_86JKVPrb5nCRukVF8A9w.png?q=20\" width=\"815\"/></div><img class=\"gz ha s t u hb ai hm\" height=\"201\" role=\"presentation\" sizes=\"700px\" srcset=\"https://miro.medium.com/max/552/1*1_86JKVPrb5nCRukVF8A9w.png 276w, https://miro.medium.com/max/1104/1*1_86JKVPrb5nCRukVF8A9w.png 552w, https://miro.medium.com/max/1280/1*1_86JKVPrb5nCRukVF8A9w.png 640w, https://miro.medium.com/max/1400/1*1_86JKVPrb5nCRukVF8A9w.png 700w\" width=\"815\"/><noscript><img class=\"s t u hb ai\" height=\"201\" role=\"presentation\" sizes=\"700px\" src=\"https://miro.medium.com/max/1630/1*1_86JKVPrb5nCRukVF8A9w.png\" srcset=\"https://miro.medium.com/max/552/1*1_86JKVPrb5nCRukVF8A9w.png 276w, https://miro.medium.com/max/1104/1*1_86JKVPrb5nCRukVF8A9w.png 552w, https://miro.medium.com/max/1280/1*1_86JKVPrb5nCRukVF8A9w.png 640w, https://miro.medium.com/max/1400/1*1_86JKVPrb5nCRukVF8A9w.png 700w\" width=\"815\"/></noscript></div></div></div></div><figcaption class=\"hn ho de dc dd hp hq ar cl fe at aw\">Installed using Anaconda Prompt</figcaption></figure><p class=\"hv ij eb as hx b hy hz ik ia ib il ic id im ie if in ig ih io ii dk\" id=\"65d1\">The installation will take around 5 to 10 min depending on your internet speed. If you find any trouble installing the library go through the official documentation(<a class=\"cq gf hr hs ht hu\" href=\"https://pycaret.org/install/\" rel=\"noopener nofollow\" target=\"_blank\">click here</a>).</p><h2 class=\"dq dr eb as ar ix iy iz ja jb jc jd je jf jg jh dx\" id=\"271d\">Step 2: Check if it is installed correctly</h2><ol class=\"\"><li class=\"hv ij eb as hx b hy ji ik ia jj il ic jk im ie jl in ig jm io ii jp jq jr\" id=\"0fa2\"><strong class=\"hx iu\">Command Terminal</strong></li></ol><p class=\"hv ij eb as hx b hy hz ik ia ib il ic id im ie if in ig ih io ii dk\" id=\"0710\">Activate your conda or python environment in the terminal and then type the following code.</p><figure class=\"gu gv gw gx gy gt dc dd paragraph-image\"><div class=\"iq ir hf is ai\"><div class=\"dc dd js\"><div class=\"he r hf hg\"><div class=\"jt hi r\"><div class=\"gz ha s t u hb ai br hc hd\"><img class=\"s t u hb ai hj hk hl\" height=\"114\" role=\"presentation\" src=\"https://miro.medium.com/max/60/1*HfEpi3ndWvlTB3CiB_m2AA.png?q=20\" width=\"628\"/></div><img class=\"gz ha s t u hb ai hm\" height=\"114\" role=\"presentation\" sizes=\"628px\" srcset=\"https://miro.medium.com/max/552/1*HfEpi3ndWvlTB3CiB_m2AA.png 276w, https://miro.medium.com/max/1104/1*HfEpi3ndWvlTB3CiB_m2AA.png 552w, https://miro.medium.com/max/1256/1*HfEpi3ndWvlTB3CiB_m2AA.png 628w\" width=\"628\"/><noscript><img class=\"s t u hb ai\" height=\"114\" role=\"presentation\" sizes=\"628px\" src=\"https://miro.medium.com/max/1256/1*HfEpi3ndWvlTB3CiB_m2AA.png\" srcset=\"https://miro.medium.com/max/552/1*HfEpi3ndWvlTB3CiB_m2AA.png 276w, https://miro.medium.com/max/1104/1*HfEpi3ndWvlTB3CiB_m2AA.png 552w, https://miro.medium.com/max/1256/1*HfEpi3ndWvlTB3CiB_m2AA.png 628w\" width=\"628\"/></noscript></div></div></div></div></figure><p class=\"hv ij eb as hx b hy hz ik ia ib il ic id im ie if in ig ih io ii dk\" id=\"6ce0\">You should get the following output.</p><figure class=\"gu gv gw gx gy gt dc dd paragraph-image\"><div class=\"dc dd js\"><div class=\"he r hf hg\"><div class=\"ju hi r\"><div class=\"gz ha s t u hb ai br hc hd\"><img class=\"s t u hb ai hj hk hl\" height=\"153\" role=\"presentation\" src=\"https://miro.medium.com/max/60/1*taJ75Poftv_WoeOzUAa7Hg.png?q=20\" width=\"628\"/></div><img class=\"gz ha s t u hb ai hm\" height=\"153\" role=\"presentation\" sizes=\"628px\" srcset=\"https://miro.medium.com/max/552/1*taJ75Poftv_WoeOzUAa7Hg.png 276w, https://miro.medium.com/max/1104/1*taJ75Poftv_WoeOzUAa7Hg.png 552w, https://miro.medium.com/max/1256/1*taJ75Poftv_WoeOzUAa7Hg.png 628w\" width=\"628\"/><noscript><img class=\"s t u hb ai\" height=\"153\" role=\"presentation\" sizes=\"628px\" src=\"https://miro.medium.com/max/1256/1*taJ75Poftv_WoeOzUAa7Hg.png\" srcset=\"https://miro.medium.com/max/552/1*taJ75Poftv_WoeOzUAa7Hg.png 276w, https://miro.medium.com/max/1104/1*taJ75Poftv_WoeOzUAa7Hg.png 552w, https://miro.medium.com/max/1256/1*taJ75Poftv_WoeOzUAa7Hg.png 628w\" width=\"628\"/></noscript></div></div></div></figure><p class=\"hv ij eb as hx b hy hz ik ia ib il ic id im ie if in ig ih io ii dk\" id=\"0451\">I use Ubuntu as my operating system so your’s might look different.</p><p class=\"hv ij eb as hx b hy hz ik ia ib il ic id im ie if in ig ih io ii dk\" id=\"a520\">2. <strong class=\"hx iu\">Jupyter notebook</strong></p><figure class=\"gu gv gw gx gy gt dc dd paragraph-image\"><div class=\"iq ir hf is ai\"><div class=\"dc dd jv\"><div class=\"he r hf hg\"><div class=\"jw hi r\"><div class=\"gz ha s t u hb ai br hc hd\"><img class=\"s t u hb ai hj hk hl\" height=\"88\" role=\"presentation\" src=\"https://miro.medium.com/max/60/1*KBG1e3TMjmeVO470wkF8Ew.png?q=20\" width=\"809\"/></div><img class=\"gz ha s t u hb ai hm\" height=\"88\" role=\"presentation\" sizes=\"700px\" srcset=\"https://miro.medium.com/max/552/1*KBG1e3TMjmeVO470wkF8Ew.png 276w, https://miro.medium.com/max/1104/1*KBG1e3TMjmeVO470wkF8Ew.png 552w, https://miro.medium.com/max/1280/1*KBG1e3TMjmeVO470wkF8Ew.png 640w, https://miro.medium.com/max/1400/1*KBG1e3TMjmeVO470wkF8Ew.png 700w\" width=\"809\"/><noscript><img class=\"s t u hb ai\" height=\"88\" role=\"presentation\" sizes=\"700px\" src=\"https://miro.medium.com/max/1618/1*KBG1e3TMjmeVO470wkF8Ew.png\" srcset=\"https://miro.medium.com/max/552/1*KBG1e3TMjmeVO470wkF8Ew.png 276w, https://miro.medium.com/max/1104/1*KBG1e3TMjmeVO470wkF8Ew.png 552w, https://miro.medium.com/max/1280/1*KBG1e3TMjmeVO470wkF8Ew.png 640w, https://miro.medium.com/max/1400/1*KBG1e3TMjmeVO470wkF8Ew.png 700w\" width=\"809\"/></noscript></div></div></div></div></figure><p class=\"hv ij eb as hx b hy hz ik ia ib il ic id im ie if in ig ih io ii dk\" id=\"8451\">Type the above code and run your jupyter cell. You will get the version number as the output.<br/>Now you have successfully installed the PyCaret library in your machine.<br/>Let me show you how to use it by solving a Regression problem.</p><h1 class=\"jx dr eb as ar ix ed jy ef jz ka kb kc kd ke kf kg\" id=\"f6c1\">Practical Usage</h1><p class=\"hv ij eb as hx b hy ji ik ia jj il ic jk im ie jl in ig jm io ii dk\" id=\"8a26\"><strong class=\"hx iu\">Problem statement:</strong></p><p class=\"hv ij eb as hx b hy hz ik ia ib il ic id im ie if in ig ih io ii dk\" id=\"ad44\">Build a model that can predict the BMI of a person using height and weight as the input features.</p><p class=\"hv ij eb as hx b hy hz ik ia ib il ic id im ie if in ig ih io ii dk\" id=\"f338\"><strong class=\"hx iu\"><em class=\"iv\">General Knowledge</em></strong></p><figure class=\"gu gv gw gx gy gt dc dd paragraph-image\"><div class=\"dc dd kh\"><div class=\"he r hf hg\"><div class=\"ki hi r\"><div class=\"gz ha s t u hb ai br hc hd\"><img class=\"s t u hb ai hj hk hl\" height=\"185\" role=\"presentation\" src=\"https://miro.medium.com/max/60/0*6ys1AMjsgECKUcMu?q=20\" width=\"272\"/></div><img class=\"gz ha s t u hb ai hm\" height=\"185\" role=\"presentation\" sizes=\"272px\" srcset=\"\" width=\"272\"/><noscript><img class=\"s t u hb ai\" height=\"185\" role=\"presentation\" src=\"https://miro.medium.com/max/544/0*6ys1AMjsgECKUcMu\" width=\"272\"/></noscript></div></div></div></figure><p class=\"hv ij eb as hx b hy hz ik ia ib il ic id im ie if in ig ih io ii dk\" id=\"d09c\">You can get the dataset from the below Github link.</p><div class=\"kj kk kl km kn ko\"><a href=\"https://github.com/HemanthDavuluri/MediumBlog/tree/master/BMI\" rel=\"noopener nofollow\" target=\"_blank\"><div class=\"kp n ao\"><div class=\"kq n kr p ks kt\"><h2 class=\"ar ix ku at br kv fg fh kw fj eb\">HemanthDavuluri/MediumBlog</h2><div class=\"kx r\"><h3 class=\"ar cl fe at br kv fg fh kw fj aw\">You can't perform that action at this time. You signed in with another tab or window. You signed out in another tab or…</h3></div><div class=\"ky r\"><h4 class=\"ar cl cm at br kv fg fh kw fj aw\">github.com</h4></div></div><div class=\"kz r\"><div class=\"la r lb lc ld kz le lf lg\"></div></div></div></a></div><h2 class=\"dq dr eb as ar ix iy iz ja jb jc jd je jf jg jh dx\" id=\"67e1\">Step 1: Load the data</h2><p class=\"hv ij eb as hx b hy ji ik ia jj il ic jk im ie jl in ig jm io ii dk\" id=\"6949\">Note: I used Kaggle notebook environment</p><figure class=\"gu gv gw gx gy gt\"><div class=\"he r hf\"><div class=\"lh hi r\"></div></div></figure><h2 class=\"dq dr eb as ar ix iy iz ja jb jc jd je jf jg jh dx\" id=\"0001\">Step 2: Split train and test set</h2><figure class=\"gu gv gw gx gy gt\"><div class=\"he r hf\"><div class=\"lh hi r\"></div></div></figure><figure class=\"gu gv gw gx gy gt dc dd paragraph-image\"><div class=\"dc dd li\"><div class=\"he r hf hg\"><div class=\"lj hi r\"><div class=\"gz ha s t u hb ai br hc hd\"><img class=\"s t u hb ai hj hk hl\" height=\"150\" role=\"presentation\" src=\"https://miro.medium.com/max/60/1*5t3Qv03jw5WPVSNfi2aL1g.png?q=20\" width=\"638\"/></div><img class=\"gz ha s t u hb ai hm\" height=\"150\" role=\"presentation\" sizes=\"638px\" srcset=\"https://miro.medium.com/max/552/1*5t3Qv03jw5WPVSNfi2aL1g.png 276w, https://miro.medium.com/max/1104/1*5t3Qv03jw5WPVSNfi2aL1g.png 552w, https://miro.medium.com/max/1276/1*5t3Qv03jw5WPVSNfi2aL1g.png 638w\" width=\"638\"/><noscript><img class=\"s t u hb ai\" height=\"150\" role=\"presentation\" sizes=\"638px\" src=\"https://miro.medium.com/max/1276/1*5t3Qv03jw5WPVSNfi2aL1g.png\" srcset=\"https://miro.medium.com/max/552/1*5t3Qv03jw5WPVSNfi2aL1g.png 276w, https://miro.medium.com/max/1104/1*5t3Qv03jw5WPVSNfi2aL1g.png 552w, https://miro.medium.com/max/1276/1*5t3Qv03jw5WPVSNfi2aL1g.png 638w\" width=\"638\"/></noscript></div></div></div></figure><p class=\"hv ij eb as hx b hy hz ik ia ib il ic id im ie if in ig ih io ii dk\" id=\"8e2e\">Note: The number of columns in data for modeling is equal to unseen data for predictions and this might look odd for those who are familiar using Sklearn.<br/>There’s nothing to worry PyCaret works this way. You will understand it clearly at the time we predict the unseen data using the trained model.</p><h2 class=\"dq dr eb as ar ix iy iz ja jb jc jd je jf jg jh dx\" id=\"db2e\">Step 3: Setting up the Pycaret Environment</h2><figure class=\"gu gv gw gx gy gt\"><div class=\"he r hf\"><div class=\"lh hi r\"></div></div></figure><p class=\"hv ij eb as hx b hy hz ik ia ib il ic id im ie if in ig ih io ii dk\" id=\"f5e8\">The set-up function initializes the environment required for Pycaret to create the transform pipeline for modeling the data and deploy it. Remember the setup function should be called before using any Pycaret functions. The function takes two main arguments data and target. Data is the dataset we are using and the target is the dependent column name. When you run the function a table is created as shown in the below image. If all the data types present in the dataset and shown correctly press enter to continue the experiment. The function performs pre-processing tasks that are needed for any machine learning experiment.</p><figure class=\"gu gv gw gx gy gt dc dd paragraph-image\"><div class=\"iq ir hf is ai\"><div class=\"dc dd lk\"><div class=\"he r hf hg\"><div class=\"ll hi r\"><div class=\"gz ha s t u hb ai br hc hd\"><img class=\"s t u hb ai hj hk hl\" height=\"696\" role=\"presentation\" src=\"https://miro.medium.com/max/28/1*rX5bdSXRK8dbxLG_-Itv7A.png?q=20\" width=\"336\"/></div><img class=\"gz ha s t u hb ai hm\" height=\"696\" role=\"presentation\" sizes=\"336px\" srcset=\"https://miro.medium.com/max/552/1*rX5bdSXRK8dbxLG_-Itv7A.png 276w, https://miro.medium.com/max/672/1*rX5bdSXRK8dbxLG_-Itv7A.png 336w\" width=\"336\"/><noscript><img class=\"s t u hb ai\" height=\"696\" role=\"presentation\" sizes=\"336px\" src=\"https://miro.medium.com/max/672/1*rX5bdSXRK8dbxLG_-Itv7A.png\" srcset=\"https://miro.medium.com/max/552/1*rX5bdSXRK8dbxLG_-Itv7A.png 276w, https://miro.medium.com/max/672/1*rX5bdSXRK8dbxLG_-Itv7A.png 336w\" width=\"336\"/></noscript></div></div></div></div><figcaption class=\"hn ho de dc dd hp hq ar cl fe at aw\">You will get an output with 41 rows</figcaption></figure><h2 class=\"dq dr eb as ar ix iy iz ja jb jc jd je jf jg jh dx\" id=\"81d1\">Main keywords definitions that you have to know</h2><ul class=\"\"><li class=\"hv ij eb as hx b hy ji ik ia jj il ic jk im ie jl in ig jm io ii lm jq jr\" id=\"bae1\"><strong class=\"hx iu\">session_id:</strong> A random number is created and used for later reproducibility. If you don’t initialize the variable the function automatically assigns 123 as the session id.</li><li class=\"hv ij eb as hx b hy ln ik ia lo il ic lp im ie lq in ig lr io ii lm jq jr\" id=\"7ec5\"><strong class=\"hx iu\">Original Data:</strong> Displays the shape of the data set.</li><li class=\"hv ij eb as hx b hy ln ik ia lo il ic lp im ie lq in ig lr io ii lm jq jr\" id=\"fbe4\"><strong class=\"hx iu\">Missing Values:</strong> Shows a boolean value if the data is missing in the dataset. True is shown if there is missing data and False is shown if there are no missing values.</li><li class=\"hv ij eb as hx b hy ln ik ia lo il ic lp im ie lq in ig lr io ii lm jq jr\" id=\"dc2e\"><strong class=\"hx iu\">Numeric Features:</strong> Number of features inferred as numeric.</li><li class=\"hv ij eb as hx b hy ln ik ia lo il ic lp im ie lq in ig lr io ii lm jq jr\" id=\"407d\"><strong class=\"hx iu\">Categorical Features:</strong> The number of categorical features count is shown.</li><li class=\"hv ij eb as hx b hy ln ik ia lo il ic lp im ie lq in ig lr io ii lm jq jr\" id=\"43de\"><strong class=\"hx iu\">Transformed Train Set:</strong> Displays the transformed data frame shape after the pre-processing.</li><li class=\"hv ij eb as hx b hy ln ik ia lo il ic lp im ie lq in ig lr io ii lm jq jr\" id=\"c388\"><strong class=\"hx iu\">Transformed Test Set:</strong> Displays the shape of the transformed train and test set. The default value is 70 percent for the train set and 30 for the training set.</li></ul><h2 class=\"dq dr eb as ar ix iy iz ja jb jc jd je jf jg jh dx\" id=\"4d60\">Step 4: Comparing all the models</h2><figure class=\"gu gv gw gx gy gt\"><div class=\"he r hf\"><div class=\"lh hi r\"></div></div></figure><p class=\"hv ij eb as hx b hy hz ik ia ib il ic id im ie if in ig ih io ii dk\" id=\"75ae\">This function call starts comparing all the models based on their performance. This is recommended for modeling the data once the setup is completed. All the models are trained and scores them using k-fold scoring validation for evaluation. The output of this function creates a table with the model name, MAE, MSE, RMSE, R2, RMSLE, and MAPE as the columns. This function call does the hard work and saves a lot of time. Depending on the size of the dataset this step might take time to finish.</p><figure class=\"gu gv gw gx gy gt dc dd paragraph-image\"><div class=\"iq ir hf is ai\"><div class=\"dc dd ls\"><div class=\"he r hf hg\"><div class=\"lt hi r\"><div class=\"gz ha s t u hb ai br hc hd\"><img class=\"s t u hb ai hj hk hl\" height=\"634\" role=\"presentation\" src=\"https://miro.medium.com/max/60/1*2J7ponMMJVEfabVrEI33Pw.png?q=20\" width=\"712\"/></div><img class=\"gz ha s t u hb ai hm\" height=\"634\" role=\"presentation\" sizes=\"700px\" srcset=\"https://miro.medium.com/max/552/1*2J7ponMMJVEfabVrEI33Pw.png 276w, https://miro.medium.com/max/1104/1*2J7ponMMJVEfabVrEI33Pw.png 552w, https://miro.medium.com/max/1280/1*2J7ponMMJVEfabVrEI33Pw.png 640w, https://miro.medium.com/max/1400/1*2J7ponMMJVEfabVrEI33Pw.png 700w\" width=\"712\"/><noscript><img class=\"s t u hb ai\" height=\"634\" role=\"presentation\" sizes=\"700px\" src=\"https://miro.medium.com/max/1424/1*2J7ponMMJVEfabVrEI33Pw.png\" srcset=\"https://miro.medium.com/max/552/1*2J7ponMMJVEfabVrEI33Pw.png 276w, https://miro.medium.com/max/1104/1*2J7ponMMJVEfabVrEI33Pw.png 552w, https://miro.medium.com/max/1280/1*2J7ponMMJVEfabVrEI33Pw.png 640w, https://miro.medium.com/max/1400/1*2J7ponMMJVEfabVrEI33Pw.png 700w\" width=\"712\"/></noscript></div></div></div></div></figure><p class=\"hv ij eb as hx b hy hz ik ia ib il ic id im ie if in ig ih io ii dk\" id=\"a1fc\">It trained 21 models and arranged them in order from best to the worst. Now it’s your choice to select the best model for you.<br/>The best algorithm that works fine for my problem statement is Extra Tree’s Regressor.</p><h2 class=\"dq dr eb as ar ix iy iz ja jb jc jd je jf jg jh dx\" id=\"9b5e\">Step 5: Create the model</h2><p class=\"hv ij eb as hx b hy ji ik ia jj il ic jk im ie jl in ig jm io ii dk\" id=\"e997\">After comparing models the function does not return the trained models. we have to create the model using create the model function and the function returns a grid with all the scores same as in the above step</p><p class=\"hv ij eb as hx b hy hz ik ia ib il ic id im ie if in ig ih io ii dk\" id=\"6a37\">You can find all the models described <a class=\"cq gf hr hs ht hu\" href=\"https://pycaret.org/create-model/\" rel=\"noopener nofollow\" target=\"_blank\">here</a>.</p><figure class=\"gu gv gw gx gy gt\"><div class=\"he r hf\"><div class=\"lh hi r\"></div></div></figure><p class=\"hv ij eb as hx b hy hz ik ia ib il ic id im ie if in ig ih io ii dk\" id=\"474f\">Output:</p><figure class=\"gu gv gw gx gy gt dc dd paragraph-image\"><div class=\"dc dd lu\"><div class=\"he r hf hg\"><div class=\"lv hi r\"><div class=\"gz ha s t u hb ai br hc hd\"><img class=\"s t u hb ai hj hk hl\" height=\"449\" role=\"presentation\" src=\"https://miro.medium.com/max/60/1*pNs1Uu-F-d4EL3iYDBnEBA.png?q=20\" width=\"453\"/></div><img class=\"gz ha s t u hb ai hm\" height=\"449\" role=\"presentation\" sizes=\"453px\" srcset=\"https://miro.medium.com/max/552/1*pNs1Uu-F-d4EL3iYDBnEBA.png 276w, https://miro.medium.com/max/906/1*pNs1Uu-F-d4EL3iYDBnEBA.png 453w\" width=\"453\"/><noscript><img class=\"s t u hb ai\" height=\"449\" role=\"presentation\" sizes=\"453px\" src=\"https://miro.medium.com/max/906/1*pNs1Uu-F-d4EL3iYDBnEBA.png\" srcset=\"https://miro.medium.com/max/552/1*pNs1Uu-F-d4EL3iYDBnEBA.png 276w, https://miro.medium.com/max/906/1*pNs1Uu-F-d4EL3iYDBnEBA.png 453w\" width=\"453\"/></noscript></div></div></div></figure><p class=\"hv ij eb as hx b hy hz ik ia ib il ic id im ie if in ig ih io ii dk\" id=\"1503\">To see all the hyperparameters used in the model print the model using this line of code.</p><figure class=\"gu gv gw gx gy gt\"><div class=\"he r hf\"><div class=\"lh hi r\"></div></div></figure><p class=\"hv ij eb as hx b hy hz ik ia ib il ic id im ie if in ig ih io ii dk\" id=\"0f00\">Output:</p><figure class=\"gu gv gw gx gy gt dc dd paragraph-image\"><div class=\"iq ir hf is ai\"><div class=\"dc dd lw\"><div class=\"he r hf hg\"><div class=\"lx hi r\"><div class=\"gz ha s t u hb ai br hc hd\"><img class=\"s t u hb ai hj hk hl\" height=\"191\" role=\"presentation\" src=\"https://miro.medium.com/max/60/1*Btlr_0OFk5QRXQRxZwhTOw.png?q=20\" width=\"795\"/></div><img class=\"gz ha s t u hb ai hm\" height=\"191\" role=\"presentation\" sizes=\"700px\" srcset=\"https://miro.medium.com/max/552/1*Btlr_0OFk5QRXQRxZwhTOw.png 276w, https://miro.medium.com/max/1104/1*Btlr_0OFk5QRXQRxZwhTOw.png 552w, https://miro.medium.com/max/1280/1*Btlr_0OFk5QRXQRxZwhTOw.png 640w, https://miro.medium.com/max/1400/1*Btlr_0OFk5QRXQRxZwhTOw.png 700w\" width=\"795\"/><noscript><img class=\"s t u hb ai\" height=\"191\" role=\"presentation\" sizes=\"700px\" src=\"https://miro.medium.com/max/1590/1*Btlr_0OFk5QRXQRxZwhTOw.png\" srcset=\"https://miro.medium.com/max/552/1*Btlr_0OFk5QRXQRxZwhTOw.png 276w, https://miro.medium.com/max/1104/1*Btlr_0OFk5QRXQRxZwhTOw.png 552w, https://miro.medium.com/max/1280/1*Btlr_0OFk5QRXQRxZwhTOw.png 640w, https://miro.medium.com/max/1400/1*Btlr_0OFk5QRXQRxZwhTOw.png 700w\" width=\"795\"/></noscript></div></div></div></div></figure><h2 class=\"dq dr eb as ar ix iy iz ja jb jc jd je jf jg jh dx\" id=\"d835\">Step 6: Tune the model</h2><p class=\"hv ij eb as hx b hy ji ik ia jj il ic jk im ie jl in ig jm io ii dk\" id=\"5ab0\">The model created in the above step uses default hyperparameters and the model might not be very effective. So tuning the model is required the tune model function. This function automatically tunes the hyperparameters and scores it using k-fold cross-validation. The output print a grid with all the scores of the tuned model.</p><p class=\"hv ij eb as hx b hy hz ik ia ib il ic id im ie if in ig ih io ii dk\" id=\"912d\"><strong class=\"hx iu\">Note:</strong> tune_model() does not take a trained model object as an input(Abbreviated name of the model as in the creation model function)</p><figure class=\"gu gv gw gx gy gt\"><div class=\"he r hf\"><div class=\"lh hi r\"></div></div></figure><p class=\"hv ij eb as hx b hy hz ik ia ib il ic id im ie if in ig ih io ii dk\" id=\"1d16\">Output:</p><figure class=\"gu gv gw gx gy gt dc dd paragraph-image\"><div class=\"dc dd ly\"><div class=\"he r hf hg\"><div class=\"lz hi r\"><div class=\"gz ha s t u hb ai br hc hd\"><img class=\"s t u hb ai hj hk hl\" height=\"407\" role=\"presentation\" src=\"https://miro.medium.com/max/60/1*3LWZQZcrNxPq1GLbUTrtaA.png?q=20\" width=\"454\"/></div><img class=\"gz ha s t u hb ai hm\" height=\"407\" role=\"presentation\" sizes=\"454px\" srcset=\"https://miro.medium.com/max/552/1*3LWZQZcrNxPq1GLbUTrtaA.png 276w, https://miro.medium.com/max/908/1*3LWZQZcrNxPq1GLbUTrtaA.png 454w\" width=\"454\"/><noscript><img class=\"s t u hb ai\" height=\"407\" role=\"presentation\" sizes=\"454px\" src=\"https://miro.medium.com/max/908/1*3LWZQZcrNxPq1GLbUTrtaA.png\" srcset=\"https://miro.medium.com/max/552/1*3LWZQZcrNxPq1GLbUTrtaA.png 276w, https://miro.medium.com/max/908/1*3LWZQZcrNxPq1GLbUTrtaA.png 454w\" width=\"454\"/></noscript></div></div></div></figure><p class=\"hv ij eb as hx b hy hz ik ia ib il ic id im ie if in ig ih io ii dk\" id=\"1d3b\">You can print the model and see the tuned hyper-parameters.</p><h2 class=\"dq dr eb as ar ix iy iz ja jb jc jd je jf jg jh dx\" id=\"67e7\">Step 7: Plot the model</h2><p class=\"hv ij eb as hx b hy ji ik ia jj il ic jk im ie jl in ig jm io ii dk\" id=\"b8e9\">Before finalizing, we can plot the model using the plot model function to analyze the performance across different aspects. This function takes a trained model as the argument and returns a plot based on the test set. There are 10 types of plot available for further information go through the <a class=\"cq gf hr hs ht hu\" href=\"https://pycaret.org/plot-model/\" rel=\"noopener nofollow\" target=\"_blank\">documentation</a>.</p><figure class=\"gu gv gw gx gy gt\"><div class=\"he r hf\"><div class=\"lh hi r\"></div></div></figure><p class=\"hv ij eb as hx b hy hz ik ia ib il ic id im ie if in ig ih io ii dk\" id=\"70ce\">Output:</p><figure class=\"gu gv gw gx gy gt dc dd paragraph-image\"><div class=\"iq ir hf is ai\"><div class=\"dc dd ma\"><div class=\"he r hf hg\"><div class=\"mb hi r\"><div class=\"gz ha s t u hb ai br hc hd\"><img class=\"s t u hb ai hj hk hl\" height=\"479\" role=\"presentation\" src=\"https://miro.medium.com/max/60/1*BBmheR1g6qt_9n1XNm8Xfw.png?q=20\" width=\"674\"/></div><img class=\"gz ha s t u hb ai hm\" height=\"479\" role=\"presentation\" sizes=\"674px\" srcset=\"https://miro.medium.com/max/552/1*BBmheR1g6qt_9n1XNm8Xfw.png 276w, https://miro.medium.com/max/1104/1*BBmheR1g6qt_9n1XNm8Xfw.png 552w, https://miro.medium.com/max/1280/1*BBmheR1g6qt_9n1XNm8Xfw.png 640w, https://miro.medium.com/max/1348/1*BBmheR1g6qt_9n1XNm8Xfw.png 674w\" width=\"674\"/><noscript><img class=\"s t u hb ai\" height=\"479\" role=\"presentation\" sizes=\"674px\" src=\"https://miro.medium.com/max/1348/1*BBmheR1g6qt_9n1XNm8Xfw.png\" srcset=\"https://miro.medium.com/max/552/1*BBmheR1g6qt_9n1XNm8Xfw.png 276w, https://miro.medium.com/max/1104/1*BBmheR1g6qt_9n1XNm8Xfw.png 552w, https://miro.medium.com/max/1280/1*BBmheR1g6qt_9n1XNm8Xfw.png 640w, https://miro.medium.com/max/1348/1*BBmheR1g6qt_9n1XNm8Xfw.png 674w\" width=\"674\"/></noscript></div></div></div></div><figcaption class=\"hn ho de dc dd hp hq ar cl fe at aw\">The perfect residual plot</figcaption></figure><p class=\"hv ij eb as hx b hy hz ik ia ib il ic id im ie if in ig ih io ii dk\" id=\"a002\">There are many other plots which you can try. Go through the <a class=\"cq gf hr hs ht hu\" href=\"https://pycaret.org/plot-model/\" rel=\"noopener nofollow\" target=\"_blank\">documentation</a>.</p><h2 class=\"dq dr eb as ar ix iy iz ja jb jc jd je jf jg jh dx\" id=\"14f6\">Step 8: Interactive mode to analyze the model performance</h2><p class=\"hv ij eb as hx b hy ji ik ia jj il ic jk im ie jl in ig jm io ii dk\" id=\"d05a\">One of the best functions that I found useful in Pycaret is the evaluation model. This function displays a user interface for all the available plots for a given model. plot model function is used to create all the plots internally in this function.</p><figure class=\"gu gv gw gx gy gt\"><div class=\"he r hf\"><div class=\"lh hi r\"></div></div></figure><p class=\"hv ij eb as hx b hy hz ik ia ib il ic id im ie if in ig ih io ii dk\" id=\"cf2e\">Output:</p><figure class=\"gu gv gw gx gy gt dc dd paragraph-image\"><div class=\"iq ir hf is ai\"><div class=\"dc dd mc\"><div class=\"he r hf hg\"><div class=\"md hi r\"><div class=\"gz ha s t u hb ai br hc hd\"><img class=\"s t u hb ai hj hk hl\" height=\"618\" role=\"presentation\" src=\"https://miro.medium.com/max/60/1*-0FsXSghzZdW3QJVbMkSPQ.png?q=20\" width=\"1331\"/></div><img class=\"gz ha s t u hb ai hm\" height=\"618\" role=\"presentation\" sizes=\"700px\" srcset=\"https://miro.medium.com/max/552/1*-0FsXSghzZdW3QJVbMkSPQ.png 276w, https://miro.medium.com/max/1104/1*-0FsXSghzZdW3QJVbMkSPQ.png 552w, https://miro.medium.com/max/1280/1*-0FsXSghzZdW3QJVbMkSPQ.png 640w, https://miro.medium.com/max/1400/1*-0FsXSghzZdW3QJVbMkSPQ.png 700w\" width=\"1331\"/><noscript><img class=\"s t u hb ai\" height=\"618\" role=\"presentation\" sizes=\"700px\" src=\"https://miro.medium.com/max/2662/1*-0FsXSghzZdW3QJVbMkSPQ.png\" srcset=\"https://miro.medium.com/max/552/1*-0FsXSghzZdW3QJVbMkSPQ.png 276w, https://miro.medium.com/max/1104/1*-0FsXSghzZdW3QJVbMkSPQ.png 552w, https://miro.medium.com/max/1280/1*-0FsXSghzZdW3QJVbMkSPQ.png 640w, https://miro.medium.com/max/1400/1*-0FsXSghzZdW3QJVbMkSPQ.png 700w\" width=\"1331\"/></noscript></div></div></div></div></figure><p class=\"hv ij eb as hx b hy hz ik ia ib il ic id im ie if in ig ih io ii dk\" id=\"0c97\">You can select the plot type as this is all interactive.</p><h2 class=\"dq dr eb as ar ix iy iz ja jb jc jd je jf jg jh dx\" id=\"428e\">Step 9: Check the model before finalizing</h2><p class=\"hv ij eb as hx b hy ji ik ia jj il ic jk im ie jl in ig jm io ii dk\" id=\"1c4d\">The main important step of the whole process is checking the model before finalizing it. It is a good practice to perform one final check by prediction test set and evaluating the scores.</p><figure class=\"gu gv gw gx gy gt\"><div class=\"he r hf\"><div class=\"lh hi r\"></div></div></figure><p class=\"hv ij eb as hx b hy hz ik ia ib il ic id im ie if in ig ih io ii dk\" id=\"dbfd\">Output:</p><figure class=\"gu gv gw gx gy gt dc dd paragraph-image\"><div class=\"dc dd me\"><div class=\"he r hf hg\"><div class=\"mf hi r\"><div class=\"gz ha s t u hb ai br hc hd\"><img class=\"s t u hb ai hj hk hl\" height=\"95\" role=\"presentation\" src=\"https://miro.medium.com/max/60/1*ne_iE_r1Oz0yVEf3L9kJuQ.png?q=20\" width=\"605\"/></div><img class=\"gz ha s t u hb ai hm\" height=\"95\" role=\"presentation\" sizes=\"605px\" srcset=\"https://miro.medium.com/max/552/1*ne_iE_r1Oz0yVEf3L9kJuQ.png 276w, https://miro.medium.com/max/1104/1*ne_iE_r1Oz0yVEf3L9kJuQ.png 552w, https://miro.medium.com/max/1210/1*ne_iE_r1Oz0yVEf3L9kJuQ.png 605w\" width=\"605\"/><noscript><img class=\"s t u hb ai\" height=\"95\" role=\"presentation\" sizes=\"605px\" src=\"https://miro.medium.com/max/1210/1*ne_iE_r1Oz0yVEf3L9kJuQ.png\" srcset=\"https://miro.medium.com/max/552/1*ne_iE_r1Oz0yVEf3L9kJuQ.png 276w, https://miro.medium.com/max/1104/1*ne_iE_r1Oz0yVEf3L9kJuQ.png 552w, https://miro.medium.com/max/1210/1*ne_iE_r1Oz0yVEf3L9kJuQ.png 605w\" width=\"605\"/></noscript></div></div></div></figure><h2 class=\"dq dr eb as ar ix iy iz ja jb jc jd je jf jg jh dx\" id=\"3538\">Step 10: Finalize model for deployment</h2><figure class=\"gu gv gw gx gy gt\"><div class=\"he r hf\"><div class=\"lh hi r\"></div></div></figure><h2 class=\"dq dr eb as ar ix iy iz ja jb jc jd je jf jg jh dx\" id=\"0488\">Step 11: Predict to Unseen data</h2><figure class=\"gu gv gw gx gy gt\"><div class=\"he r hf\"><div class=\"lh hi r\"></div></div></figure><p class=\"hv ij eb as hx b hy hz ik ia ib il ic id im ie if in ig ih io ii dk\" id=\"b548\">Print the new prediction data frame.</p><figure class=\"gu gv gw gx gy gt\"><div class=\"he r hf\"><div class=\"lh hi r\"></div></div></figure><figure class=\"gu gv gw gx gy gt dc dd paragraph-image\"><div class=\"iq ir hf is ai\"><div class=\"dc dd mg\"><div class=\"he r hf hg\"><div class=\"mh hi r\"><div class=\"gz ha s t u hb ai br hc hd\"><img class=\"s t u hb ai hj hk hl\" height=\"199\" role=\"presentation\" src=\"https://miro.medium.com/max/60/1*uJUnDOdg8C5s6o4DjTsVgA.png?q=20\" width=\"383\"/></div><img class=\"gz ha s t u hb ai hm\" height=\"199\" role=\"presentation\" sizes=\"383px\" srcset=\"https://miro.medium.com/max/552/1*uJUnDOdg8C5s6o4DjTsVgA.png 276w, https://miro.medium.com/max/766/1*uJUnDOdg8C5s6o4DjTsVgA.png 383w\" width=\"383\"/><noscript><img class=\"s t u hb ai\" height=\"199\" role=\"presentation\" sizes=\"383px\" src=\"https://miro.medium.com/max/766/1*uJUnDOdg8C5s6o4DjTsVgA.png\" srcset=\"https://miro.medium.com/max/552/1*uJUnDOdg8C5s6o4DjTsVgA.png 276w, https://miro.medium.com/max/766/1*uJUnDOdg8C5s6o4DjTsVgA.png 383w\" width=\"383\"/></noscript></div></div></div></div></figure><p class=\"hv ij eb as hx b hy hz ik ia ib il ic id im ie if in ig ih io ii dk\" id=\"8aca\">If you keenly look at the data frame you have a new column named “Label” which is nothing but the predicted values column.</p><p class=\"hv ij eb as hx b hy hz ik ia ib il ic id im ie if in ig ih io ii dk\" id=\"0f02\">I guess now it made sense why there were 3 columns in the unseen data set as train(data) set.</p><h2 class=\"dq dr eb as ar ix iy iz ja jb jc jd je jf jg jh dx\" id=\"5c0d\">Step 12: Save the model</h2><p class=\"hv ij eb as hx b hy ji ik ia jj il ic jk im ie jl in ig jm io ii dk\" id=\"028a\">By doing this you can use your model on new data whenever you want. You need to go through the entire process again if you save your model.</p><figure class=\"gu gv gw gx gy gt\"><div class=\"he r hf\"><div class=\"lh hi r\"></div></div></figure><p class=\"hv ij eb as hx b hy hz ik ia ib il ic id im ie if in ig ih io ii dk\" id=\"aeb9\">save model function takes two arguments one is the model name and the second one is the name with which you want to save the model.</p><p class=\"hv ij eb as hx b hy hz ik ia ib il ic id im ie if in ig ih io ii dk\" id=\"2b3e\">To reuse the model again try the following code.</p><figure class=\"gu gv gw gx gy gt\"><div class=\"he r hf\"><div class=\"lh hi r\"></div></div></figure><p class=\"hv ij eb as hx b hy hz ik ia ib il ic id im ie if in ig ih io ii dk\" id=\"b6c6\">Output:</p><figure class=\"gu gv gw gx gy gt dc dd paragraph-image\"><div class=\"dc dd mi\"><div class=\"he r hf hg\"><div class=\"mj hi r\"><div class=\"gz ha s t u hb ai br hc hd\"><img class=\"s t u hb ai hj hk hl\" height=\"39\" role=\"presentation\" src=\"https://miro.medium.com/max/60/1*4kfic-8F0kaqL-wFfcgDTw.png?q=20\" width=\"525\"/></div><img class=\"gz ha s t u hb ai hm\" height=\"39\" role=\"presentation\" sizes=\"525px\" srcset=\"https://miro.medium.com/max/552/1*4kfic-8F0kaqL-wFfcgDTw.png 276w, https://miro.medium.com/max/1050/1*4kfic-8F0kaqL-wFfcgDTw.png 525w\" width=\"525\"/><noscript><img class=\"s t u hb ai\" height=\"39\" role=\"presentation\" sizes=\"525px\" src=\"https://miro.medium.com/max/1050/1*4kfic-8F0kaqL-wFfcgDTw.png\" srcset=\"https://miro.medium.com/max/552/1*4kfic-8F0kaqL-wFfcgDTw.png 276w, https://miro.medium.com/max/1050/1*4kfic-8F0kaqL-wFfcgDTw.png 525w\" width=\"525\"/></noscript></div></div></div></figure><p class=\"hv ij eb as hx b hy hz ik ia ib il ic id im ie if in ig ih io ii dk\" id=\"1f21\">Once the model is loaded in the environment, you can simply use it to predict any new data using the same <code class=\"hg mk ml mm mn b\">predict_model()</code> function.</p><h1 class=\"jx dr eb as ar ix ed jy ef jz ka kb kc kd ke kf kg\" id=\"2642\">Conclusion</h1><p class=\"hv ij eb as hx b hy ji ik ia jj il ic jk im ie jl in ig jm io ii dk\" id=\"f80b\">It just took 7 minutes for you to install the library and find a perfect model.</p><p class=\"hv ij eb as hx b hy hz ik ia ib il ic id im ie if in ig ih io ii dk\" id=\"f4e4\">So are you pretty satisfied with PyCaret?<br/>What are you waiting for? <br/>Start implementing your projects and save your precious time as I’m saving mine and writing articles for you.<br/>A follow and clap would be appreciated. Thanks for reading till the end.<br/>See you next time.</p></div></div></section></div></article><div class=\"gz dj mo mp ai mq mr ms\" data-test-id=\"post-sidebar\"><div class=\"n p\"><div class=\"z ab ac ae af ag ah ai\"><div class=\"my n kr\"><div class=\"dj\"><div class=\"mz na r\"><a class=\"cq cr ba bb bc bd be bf bg bh gp gq bk fl fm\" href=\"/towards-artificial-intelligence?source=post_sidebar--------------------------post_sidebar-\" rel=\"noopener\"><h2 class=\"ar ix ku at eb\">Towards AI — Multidisciplinary Science Journal</h2></a><div class=\"nb nc r\"><h4 class=\"ar cl fe at br nd fg fh ne fj aw\">The Best of Tech, Science and the Future.</h4></div><div aria-hidden=\"true\" class=\"ge\"><button class=\"nf fp ay az ng bi bj nh bh ga ar b as at au av gc gd df ge gf\">Follow</button></div></div><div class=\"ni nj nk n\"><div class=\"n o\"><div class=\"r hf nl nm nn no np\"><a class=\"cq cr ba bb bc bd be bf bg bh gp gq bk fl fm\" href=\"https://medium.com/m/signin?operation=register&amp;redirect=https%3A%2F%2Fmedium.com%2Ftowards-artificial-intelligence%2Fhaving-a-hard-time-building-the-perfect-model-bc94ec380ac0&amp;source=post_sidebar-----bc94ec380ac0---------------------clap_sidebar-\" rel=\"noopener\"><div class=\"bf nq nr ns nt nu nv nw q nx ny\"><svg height=\"29\" width=\"29\"><g fill-rule=\"evenodd\"><path d=\"M13.74 1l.76 2.97.76-2.97zM16.82 4.78l1.84-2.56-1.43-.47zM10.38 2.22l1.84 2.56-.41-3.03zM22.38 22.62a5.11 5.11 0 0 1-3.16 1.61l.49-.45c2.88-2.89 3.45-5.98 1.69-9.21l-1.1-1.94-.96-2.02c-.31-.67-.23-1.18.25-1.55a.84.84 0 0 1 .66-.16c.34.05.66.28.88.6l2.85 5.02c1.18 1.97 1.38 5.12-1.6 8.1M9.1 22.1l-5.02-5.02a1 1 0 0 1 .7-1.7 1 1 0 0 1 .72.3l2.6 2.6a.44.44 0 0 0 .63-.62L6.1 15.04l-1.75-1.75a1 1 0 1 1 1.41-1.41l4.15 4.15a.44.44 0 0 0 .63 0 .44.44 0 0 0 0-.62L6.4 11.26l-1.18-1.18a1 1 0 0 1 0-1.4 1.02 1.02 0 0 1 1.41 0l1.18 1.16L11.96 14a.44.44 0 0 0 .62 0 .44.44 0 0 0 0-.63L8.43 9.22a.99.99 0 0 1-.3-.7.99.99 0 0 1 .3-.7 1 1 0 0 1 1.41 0l7 6.98a.44.44 0 0 0 .7-.5l-1.35-2.85c-.31-.68-.23-1.19.25-1.56a.85.85 0 0 1 .66-.16c.34.06.66.28.88.6L20.63 15c1.57 2.88 1.07 5.54-1.55 8.16a5.62 5.62 0 0 1-5.06 1.65 9.35 9.35 0 0 1-4.93-2.72zM13 6.98l2.56 2.56c-.5.6-.56 1.41-.15 2.28l.26.56-4.25-4.25a.98.98 0 0 1-.12-.45 1 1 0 0 1 .29-.7 1.02 1.02 0 0 1 1.41 0zm8.89 2.06c-.38-.56-.9-.92-1.49-1.01a1.74 1.74 0 0 0-1.34.33c-.38.29-.61.65-.71 1.06a2.1 2.1 0 0 0-1.1-.56 1.78 1.78 0 0 0-.99.13l-2.64-2.64a1.88 1.88 0 0 0-2.65 0 1.86 1.86 0 0 0-.48.85 1.89 1.89 0 0 0-2.67-.01 1.87 1.87 0 0 0-.5.9c-.76-.75-2-.75-2.7-.04a1.88 1.88 0 0 0 0 2.66c-.3.12-.61.29-.87.55a1.88 1.88 0 0 0 0 2.66l.62.62a1.88 1.88 0 0 0-.9 3.16l5.01 5.02c1.6 1.6 3.52 2.64 5.4 2.96a7.16 7.16 0 0 0 1.18.1c1.03 0 2-.25 2.9-.7A5.9 5.9 0 0 0 23 23.24c3.34-3.34 3.08-6.93 1.74-9.17l-2.87-5.04z\"></path></g></svg></div></a></div><div class=\"r nz oa ob oc od oe of\"><div class=\"og\"><h4 class=\"ar cl fe at aw\"><button class=\"cq cr ba bb bc bd be bf bg bh gp gq bk fl fm\">207<!-- --> </button></h4></div></div></div></div><div class=\"nj r\"></div><div class=\"q\"><a class=\"cq cr ba bb bc bd be bf bg bh gp gq bk fl fm\" href=\"https://medium.com/m/signin?operation=register&amp;redirect=https%3A%2F%2Fmedium.com%2Ftowards-artificial-intelligence%2Fhaving-a-hard-time-building-the-perfect-model-bc94ec380ac0&amp;source=post_sidebar--------------------------post_sidebar-\" rel=\"noopener\"><svg height=\"25\" viewbox=\"0 0 25 25\" width=\"25\"><path d=\"M19 6a2 2 0 0 0-2-2H8a2 2 0 0 0-2 2v14.66h.01c.01.1.05.2.12.28a.5.5 0 0 0 .7.03l5.67-4.12 5.66 4.13a.5.5 0 0 0 .71-.03.5.5 0 0 0 .12-.29H19V6zm-6.84 9.97L7 19.64V6a1 1 0 0 1 1-1h9a1 1 0 0 1 1 1v13.64l-5.16-3.67a.49.49 0 0 0-.68 0z\" fill-rule=\"evenodd\"></path></svg></a></div></div></div></div></div></div><div class=\"gz dj mo mp mt mu mv mw mr mx\"></div><div><div class=\"oh gt n kr p\"><div class=\"n p\"><div class=\"z ab ac ae af dp ah ai\"><div class=\"oi oj kx ok hg ol\"><h2 class=\"ar ix om ik on il oo op oq or os ot eb\">Sign up for <!-- -->Towards AI Newsletter<!-- --> from <!-- -->Towards AI — Multidisciplinary Science Journal</h2><div class=\"ou ov r\"><h4 class=\"ar cl ow ox oy oz pa pb pc pd pe pf eb\">Towards AI publishes the best of tech, science, and engineering. 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src=\"https://miro.medium.com/fit/c/140/140/1*IRvdQnKnBr2mLlY-H1I1qA.png\" srcset=\"https://miro.medium.com/fit/c/96/140/1*IRvdQnKnBr2mLlY-H1I1qA.png 48w, https://miro.medium.com/fit/c/140/140/1*IRvdQnKnBr2mLlY-H1I1qA.png 70w\" width=\"70\"/></noscript></div></div></a></div></div></div></div></div><div class=\"tm tn to tp tq tr ts tt tu tv tw tx ty tz ua ub uc ud ue uf ug\"><div class=\"uh ui r\"><div class=\"ai hb\"><div class=\"n eu\"><div class=\"r bw uj uk qg\"><div class=\"ul r\"><h2 class=\"ar ix um un uo up uq ur pc us pe ut eb\"><a href=\"/gradientcrescent/fundamentals-of-reinforcement-learning-markov-decision-processes-policies-value-functions-94f7389e1e82?source=post_internal_links---------4------------------\" rel=\"noopener\">Fundamentals of Reinforcement Learning: Markov Decision Processes, Policies, &amp; Value Functions</a></h2></div><div class=\"o n\"><div></div><div class=\"ai r\"><div class=\"n\"><div style=\"flex:1\"><span class=\"ar b as at au av r eb q\"><div class=\"cw n o fd\"><span class=\"ar cl cm at eb\"><a class=\"cq cr ba bb bc bd be bf bg bh fk bk fl fm\" href=\"/@adrianitsaxu?source=post_internal_links---------4------------------\" rel=\"noopener\">Adrian Yijie Xu</a><span> <!-- -->in<!-- --> <a class=\"cq cr ba bb bc bd be bf bg bh fk bk fl fm\" href=\"/gradientcrescent?source=post_internal_links---------4------------------\" rel=\"noopener\">GradientCrescent</a></span></span></div></span></div></div></div></div></div><div class=\"fb gr r qf uu\"><a class=\"cq cr ba bb bc bd be bf bg bh gp gq bk fl fm r\" href=\"/gradientcrescent/fundamentals-of-reinforcement-learning-markov-decision-processes-policies-value-functions-94f7389e1e82?source=post_internal_links---------4------------------\" rel=\"noopener\"><div class=\"he r hf hg\"><div class=\"uv hi r\"><div class=\"gz ha s t u hb ai br hc hd\"><img class=\"s t u hb ai hj hk hl\" height=\"70\" role=\"presentation\" src=\"https://miro.medium.com/max/60/1*3DavqsNMzbWouPvVuv4LaQ.png?q=20\" width=\"70\"/></div><img class=\"gz ha uw ux uy uz va vb vc vd ve vf hm\" height=\"70\" role=\"presentation\" sizes=\"70px\" srcset=\"https://miro.medium.com/fit/c/96/140/1*3DavqsNMzbWouPvVuv4LaQ.png 48w, https://miro.medium.com/fit/c/140/140/1*3DavqsNMzbWouPvVuv4LaQ.png 70w\" width=\"70\"/><noscript><img class=\"uw ux uy uz va vb vc vd ve vf\" height=\"70\" role=\"presentation\" sizes=\"70px\" src=\"https://miro.medium.com/fit/c/140/140/1*3DavqsNMzbWouPvVuv4LaQ.png\" srcset=\"https://miro.medium.com/fit/c/96/140/1*3DavqsNMzbWouPvVuv4LaQ.png 48w, https://miro.medium.com/fit/c/140/140/1*3DavqsNMzbWouPvVuv4LaQ.png 70w\" width=\"70\"/></noscript></div></div></a></div></div></div></div></div><div class=\"tm tn to tp tq tr ts tt tu tv tw tx ty tz ua ub uc ud ue uf ug\"><div class=\"uh ui r\"><div class=\"ai hb\"><div class=\"n eu\"><div class=\"r bw uj uk qg\"><div class=\"ul r\"><h2 class=\"ar ix um un uo up uq ur pc us pe ut eb\"><a href=\"/@gunjanagicha/tree-based-methods-7ed6ff5db85d?source=post_internal_links---------5------------------\" rel=\"noopener\">Tree-based methods</a></h2></div><div class=\"o n\"><div></div><div class=\"ai r\"><div class=\"n\"><div style=\"flex:1\"><span class=\"ar b as at au av r eb q\"><div class=\"cw n o fd\"><span class=\"ar cl cm at eb\"><a class=\"cq cr ba bb bc bd be bf bg bh fk bk fl fm\" href=\"/@gunjanagicha?source=post_internal_links---------5------------------\" rel=\"noopener\">Gunjan Agicha</a></span></div></span></div></div></div></div></div><div class=\"fb gr r qf uu\"><a class=\"cq cr ba bb bc bd be bf bg bh gp gq bk fl fm r\" href=\"/@gunjanagicha/tree-based-methods-7ed6ff5db85d?source=post_internal_links---------5------------------\" rel=\"noopener\"><div class=\"he r hf hg\"><div class=\"uv hi r\"><div class=\"gz ha s t u hb ai br hc hd\"><img class=\"s t u hb ai hj hk hl\" height=\"70\" role=\"presentation\" src=\"https://miro.medium.com/max/60/1*FHdCmBWBxTV9Fs_ed6lCoA.png?q=20\" width=\"70\"/></div><img class=\"gz ha uw ux uy uz va vb vc vd ve vf hm\" height=\"70\" role=\"presentation\" sizes=\"70px\" srcset=\"https://miro.medium.com/fit/c/96/140/1*FHdCmBWBxTV9Fs_ed6lCoA.png 48w, https://miro.medium.com/fit/c/140/140/1*FHdCmBWBxTV9Fs_ed6lCoA.png 70w\" width=\"70\"/><noscript><img class=\"uw ux uy uz va vb vc vd ve vf\" height=\"70\" role=\"presentation\" sizes=\"70px\" src=\"https://miro.medium.com/fit/c/140/140/1*FHdCmBWBxTV9Fs_ed6lCoA.png\" srcset=\"https://miro.medium.com/fit/c/96/140/1*FHdCmBWBxTV9Fs_ed6lCoA.png 48w, https://miro.medium.com/fit/c/140/140/1*FHdCmBWBxTV9Fs_ed6lCoA.png 70w\" width=\"70\"/></noscript></div></div></a></div></div></div></div></div><div class=\"tm tn to tp tq tr ts tt tu tv tw tx ty tz ua ub uc ud ue uf ug\"><div class=\"uh ui r\"><div class=\"ai hb\"><div class=\"n eu\"><div class=\"r bw uj uk qg\"><div class=\"ul r\"><h2 class=\"ar ix um un uo up uq ur pc us pe ut eb\"><a href=\"/@ahmdtaha/distilling-the-knowledge-in-a-neural-network-77b7232bb631?source=post_internal_links---------6------------------\" rel=\"noopener\">Distilling the Knowledge in a Neural Network</a></h2></div><div class=\"o n\"><div></div><div class=\"ai r\"><div class=\"n\"><div style=\"flex:1\"><span class=\"ar b as at au av r eb q\"><div class=\"cw n o fd\"><span class=\"ar cl cm at eb\"><a class=\"cq cr ba bb bc bd be bf bg bh fk bk fl fm\" href=\"/@ahmdtaha?source=post_internal_links---------6------------------\" rel=\"noopener\">Ahmed Taha</a></span></div></span></div></div></div></div></div><div class=\"fb gr r qf uu\"><a class=\"cq cr ba bb bc bd be bf bg bh gp gq bk fl fm r\" href=\"/@ahmdtaha/distilling-the-knowledge-in-a-neural-network-77b7232bb631?source=post_internal_links---------6------------------\" rel=\"noopener\"><div class=\"he r hf hg\"><div class=\"uv hi r\"><div class=\"gz ha s t u hb ai br hc hd\"><img class=\"s t u hb ai hj hk hl\" height=\"70\" role=\"presentation\" src=\"https://miro.medium.com/max/60/1*SlUezOMbbX9vMSQO8lL3Pg.jpeg?q=20\" width=\"70\"/></div><img class=\"gz ha uw ux uy uz va vb vc vd ve vf hm\" height=\"70\" role=\"presentation\" sizes=\"70px\" srcset=\"https://miro.medium.com/fit/c/96/140/1*SlUezOMbbX9vMSQO8lL3Pg.jpeg 48w, https://miro.medium.com/fit/c/140/140/1*SlUezOMbbX9vMSQO8lL3Pg.jpeg 70w\" width=\"70\"/><noscript><img class=\"uw ux uy uz va vb vc vd ve vf\" height=\"70\" role=\"presentation\" sizes=\"70px\" src=\"https://miro.medium.com/fit/c/140/140/1*SlUezOMbbX9vMSQO8lL3Pg.jpeg\" srcset=\"https://miro.medium.com/fit/c/96/140/1*SlUezOMbbX9vMSQO8lL3Pg.jpeg 48w, https://miro.medium.com/fit/c/140/140/1*SlUezOMbbX9vMSQO8lL3Pg.jpeg 70w\" width=\"70\"/></noscript></div></div></a></div></div></div></div></div><div class=\"tm tn to tp tq tr ts tt tu tv tw tx ty tz ua ub uc ud ue uf ug\"><div class=\"uh ui r\"><div class=\"ai hb\"><div class=\"n eu\"><div class=\"r bw uj uk qg\"><div class=\"ul r\"><h2 class=\"ar ix um un uo up uq ur pc us pe ut eb\"><a href=\"/@johnslaw09/understanding-tweets-with-deep-learning-e5c2d5ca0edb?source=post_internal_links---------7------------------\" rel=\"noopener\">Understanding Tweets with Deep-Learning</a></h2></div><div class=\"o n\"><div></div><div class=\"ai r\"><div class=\"n\"><div style=\"flex:1\"><span class=\"ar b as at au av r eb q\"><div class=\"cw n o fd\"><span class=\"ar cl cm at eb\"><a class=\"cq cr ba bb bc bd be bf bg bh fk bk fl fm\" href=\"/@johnslaw09?source=post_internal_links---------7------------------\" rel=\"noopener\">John Lawrence</a></span></div></span></div></div></div></div></div><div class=\"fb gr r qf uu\"><a class=\"cq cr ba bb bc bd be bf bg bh gp gq bk fl fm r\" href=\"/@johnslaw09/understanding-tweets-with-deep-learning-e5c2d5ca0edb?source=post_internal_links---------7------------------\" rel=\"noopener\"><div class=\"he r hf hg\"><div class=\"uv hi r\"><div class=\"gz ha s t u hb ai br hc hd\"><img class=\"s t u hb ai hj hk hl\" height=\"70\" role=\"presentation\" src=\"https://miro.medium.com/max/60/0*ta9FGJCnMxS5-KmH?q=20\" width=\"70\"/></div><img class=\"gz ha uw ux uy uz va vb vc vd ve vf hm\" height=\"70\" role=\"presentation\" sizes=\"70px\" srcset=\"https://miro.medium.com/fit/c/96/140/0*ta9FGJCnMxS5-KmH 48w, https://miro.medium.com/fit/c/140/140/0*ta9FGJCnMxS5-KmH 70w\" width=\"70\"/><noscript><img class=\"uw ux uy uz va vb vc vd ve vf\" height=\"70\" role=\"presentation\" sizes=\"70px\" src=\"https://miro.medium.com/fit/c/140/140/0*ta9FGJCnMxS5-KmH\" srcset=\"https://miro.medium.com/fit/c/96/140/0*ta9FGJCnMxS5-KmH 48w, https://miro.medium.com/fit/c/140/140/0*ta9FGJCnMxS5-KmH 70w\" width=\"70\"/></noscript></div></div></a></div></div></div></div></div></div></div></div></div></div></div></div><div class=\"vg r vh vi\"><section class=\"dc dd ai df r vj vk vl vm vn vo vp vq vr vs vt vu vv vw vx\"><div class=\"vy vz rm n eu g\"><div class=\"wa n eu\"><div class=\"wb r 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So that does not conflict with other packages installed. The advantage of using a virtual environment is we can download a specific version of any library we want to use.\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_11\":{\"id\":\"c92918332ebc_11\",\"name\":\"03ad\",\"type\":\"IMG\",\"href\":null,\"layout\":\"INSET_CENTER\",\"metadata\":{\"type\":\"id\",\"generated\":false,\"id\":\"ImageMetadata:1*1_86JKVPrb5nCRukVF8A9w.png\",\"typename\":\"ImageMetadata\"},\"text\":\"Installed using Anaconda Prompt\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"ImageMetadata:1*1_86JKVPrb5nCRukVF8A9w.png\":{\"id\":\"1*1_86JKVPrb5nCRukVF8A9w.png\",\"originalHeight\":201,\"originalWidth\":815,\"focusPercentX\":null,\"focusPercentY\":null,\"alt\":null,\"__typename\":\"ImageMetadata\"},\"Paragraph:c92918332ebc_12\":{\"id\":\"c92918332ebc_12\",\"name\":\"65d1\",\"type\":\"P\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"The installation will take around 5 to 10 min depending on your internet speed. If you find any trouble installing the library go through the official documentation(click here).\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[{\"type\":\"id\",\"generated\":true,\"id\":\"Paragraph:c92918332ebc_12.markups.0\",\"typename\":\"Markup\"}],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_12.markups.0\":{\"type\":\"A\",\"start\":165,\"end\":175,\"href\":\"https:\\u002F\\u002Fpycaret.org\\u002Finstall\\u002F\",\"anchorType\":\"LINK\",\"userId\":null,\"linkMetadata\":null,\"__typename\":\"Markup\"},\"Paragraph:c92918332ebc_13\":{\"id\":\"c92918332ebc_13\",\"name\":\"271d\",\"type\":\"H4\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"Step 2: Check if it is installed correctly\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_14\":{\"id\":\"c92918332ebc_14\",\"name\":\"0fa2\",\"type\":\"OLI\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"Command Terminal\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[{\"type\":\"id\",\"generated\":true,\"id\":\"Paragraph:c92918332ebc_14.markups.0\",\"typename\":\"Markup\"}],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_14.markups.0\":{\"type\":\"STRONG\",\"start\":0,\"end\":16,\"href\":null,\"anchorType\":null,\"userId\":null,\"linkMetadata\":null,\"__typename\":\"Markup\"},\"Paragraph:c92918332ebc_15\":{\"id\":\"c92918332ebc_15\",\"name\":\"0710\",\"type\":\"P\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"Activate your conda or python environment in the terminal and then type the following code.\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_16\":{\"id\":\"c92918332ebc_16\",\"name\":\"07d6\",\"type\":\"IMG\",\"href\":null,\"layout\":\"INSET_CENTER\",\"metadata\":{\"type\":\"id\",\"generated\":false,\"id\":\"ImageMetadata:1*HfEpi3ndWvlTB3CiB_m2AA.png\",\"typename\":\"ImageMetadata\"},\"text\":\"\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"ImageMetadata:1*HfEpi3ndWvlTB3CiB_m2AA.png\":{\"id\":\"1*HfEpi3ndWvlTB3CiB_m2AA.png\",\"originalHeight\":114,\"originalWidth\":628,\"focusPercentX\":null,\"focusPercentY\":null,\"alt\":null,\"__typename\":\"ImageMetadata\"},\"Paragraph:c92918332ebc_17\":{\"id\":\"c92918332ebc_17\",\"name\":\"6ce0\",\"type\":\"P\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"You should get the following output.\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_18\":{\"id\":\"c92918332ebc_18\",\"name\":\"e349\",\"type\":\"IMG\",\"href\":null,\"layout\":\"INSET_CENTER\",\"metadata\":{\"type\":\"id\",\"generated\":false,\"id\":\"ImageMetadata:1*taJ75Poftv_WoeOzUAa7Hg.png\",\"typename\":\"ImageMetadata\"},\"text\":\"\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"ImageMetadata:1*taJ75Poftv_WoeOzUAa7Hg.png\":{\"id\":\"1*taJ75Poftv_WoeOzUAa7Hg.png\",\"originalHeight\":153,\"originalWidth\":628,\"focusPercentX\":null,\"focusPercentY\":null,\"alt\":null,\"__typename\":\"ImageMetadata\"},\"Paragraph:c92918332ebc_19\":{\"id\":\"c92918332ebc_19\",\"name\":\"0451\",\"type\":\"P\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"I use Ubuntu as my operating system so your’s might look different.\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_20\":{\"id\":\"c92918332ebc_20\",\"name\":\"a520\",\"type\":\"P\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"2. Jupyter notebook\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[{\"type\":\"id\",\"generated\":true,\"id\":\"Paragraph:c92918332ebc_20.markups.0\",\"typename\":\"Markup\"}],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_20.markups.0\":{\"type\":\"STRONG\",\"start\":3,\"end\":19,\"href\":null,\"anchorType\":null,\"userId\":null,\"linkMetadata\":null,\"__typename\":\"Markup\"},\"Paragraph:c92918332ebc_21\":{\"id\":\"c92918332ebc_21\",\"name\":\"bd42\",\"type\":\"IMG\",\"href\":null,\"layout\":\"INSET_CENTER\",\"metadata\":{\"type\":\"id\",\"generated\":false,\"id\":\"ImageMetadata:1*KBG1e3TMjmeVO470wkF8Ew.png\",\"typename\":\"ImageMetadata\"},\"text\":\"\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"ImageMetadata:1*KBG1e3TMjmeVO470wkF8Ew.png\":{\"id\":\"1*KBG1e3TMjmeVO470wkF8Ew.png\",\"originalHeight\":88,\"originalWidth\":809,\"focusPercentX\":null,\"focusPercentY\":null,\"alt\":null,\"__typename\":\"ImageMetadata\"},\"Paragraph:c92918332ebc_22\":{\"id\":\"c92918332ebc_22\",\"name\":\"8451\",\"type\":\"P\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"Type the above code and run your jupyter cell. You will get the version number as the output.\\nNow you have successfully installed the PyCaret library in your machine.\\nLet me show you how to use it by solving a Regression problem.\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_23\":{\"id\":\"c92918332ebc_23\",\"name\":\"f6c1\",\"type\":\"H3\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"Practical Usage\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_24\":{\"id\":\"c92918332ebc_24\",\"name\":\"8a26\",\"type\":\"P\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"Problem statement:\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[{\"type\":\"id\",\"generated\":true,\"id\":\"Paragraph:c92918332ebc_24.markups.0\",\"typename\":\"Markup\"}],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_24.markups.0\":{\"type\":\"STRONG\",\"start\":0,\"end\":18,\"href\":null,\"anchorType\":null,\"userId\":null,\"linkMetadata\":null,\"__typename\":\"Markup\"},\"Paragraph:c92918332ebc_25\":{\"id\":\"c92918332ebc_25\",\"name\":\"ad44\",\"type\":\"P\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"Build a model that can predict the BMI of a person using height and weight as the input features.\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_26\":{\"id\":\"c92918332ebc_26\",\"name\":\"f338\",\"type\":\"P\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"General Knowledge\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[{\"type\":\"id\",\"generated\":true,\"id\":\"Paragraph:c92918332ebc_26.markups.0\",\"typename\":\"Markup\"},{\"type\":\"id\",\"generated\":true,\"id\":\"Paragraph:c92918332ebc_26.markups.1\",\"typename\":\"Markup\"}],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_26.markups.0\":{\"type\":\"STRONG\",\"start\":0,\"end\":17,\"href\":null,\"anchorType\":null,\"userId\":null,\"linkMetadata\":null,\"__typename\":\"Markup\"},\"Paragraph:c92918332ebc_26.markups.1\":{\"type\":\"EM\",\"start\":0,\"end\":17,\"href\":null,\"anchorType\":null,\"userId\":null,\"linkMetadata\":null,\"__typename\":\"Markup\"},\"Paragraph:c92918332ebc_27\":{\"id\":\"c92918332ebc_27\",\"name\":\"25e7\",\"type\":\"IMG\",\"href\":null,\"layout\":\"INSET_CENTER\",\"metadata\":{\"type\":\"id\",\"generated\":false,\"id\":\"ImageMetadata:0*6ys1AMjsgECKUcMu\",\"typename\":\"ImageMetadata\"},\"text\":\"\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"ImageMetadata:0*6ys1AMjsgECKUcMu\":{\"id\":\"0*6ys1AMjsgECKUcMu\",\"originalHeight\":185,\"originalWidth\":272,\"focusPercentX\":null,\"focusPercentY\":null,\"alt\":null,\"__typename\":\"ImageMetadata\"},\"Paragraph:c92918332ebc_28\":{\"id\":\"c92918332ebc_28\",\"name\":\"d09c\",\"type\":\"P\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"You can get the dataset from the below Github link.\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_29\":{\"id\":\"c92918332ebc_29\",\"name\":\"0560\",\"type\":\"MIXTAPE_EMBED\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"HemanthDavuluri\\u002FMediumBlog\\nYou can't perform that action at this time. You signed in with another tab or window. You signed out in another tab or…github.com\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[{\"type\":\"id\",\"generated\":true,\"id\":\"Paragraph:c92918332ebc_29.markups.0\",\"typename\":\"Markup\"},{\"type\":\"id\",\"generated\":true,\"id\":\"Paragraph:c92918332ebc_29.markups.1\",\"typename\":\"Markup\"},{\"type\":\"id\",\"generated\":true,\"id\":\"Paragraph:c92918332ebc_29.markups.2\",\"typename\":\"Markup\"}],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":{\"type\":\"id\",\"generated\":true,\"id\":\"$Paragraph:c92918332ebc_29.mixtapeMetadata\",\"typename\":\"MixtapeMetadata\"}},\"Paragraph:c92918332ebc_29.markups.0\":{\"type\":\"A\",\"start\":0,\"end\":156,\"href\":\"https:\\u002F\\u002Fgithub.com\\u002FHemanthDavuluri\\u002FMediumBlog\\u002Ftree\\u002Fmaster\\u002FBMI\",\"anchorType\":\"LINK\",\"userId\":null,\"linkMetadata\":null,\"__typename\":\"Markup\"},\"Paragraph:c92918332ebc_29.markups.1\":{\"type\":\"STRONG\",\"start\":0,\"end\":26,\"href\":null,\"anchorType\":null,\"userId\":null,\"linkMetadata\":null,\"__typename\":\"Markup\"},\"Paragraph:c92918332ebc_29.markups.2\":{\"type\":\"EM\",\"start\":27,\"end\":146,\"href\":null,\"anchorType\":null,\"userId\":null,\"linkMetadata\":null,\"__typename\":\"Markup\"},\"$Paragraph:c92918332ebc_29.mixtapeMetadata\":{\"href\":\"https:\\u002F\\u002Fgithub.com\\u002FHemanthDavuluri\\u002FMediumBlog\\u002Ftree\\u002Fmaster\\u002FBMI\",\"thumbnailImageId\":\"0*bpjbhjkyrzlkcGf1\",\"__typename\":\"MixtapeMetadata\"},\"Paragraph:c92918332ebc_30\":{\"id\":\"c92918332ebc_30\",\"name\":\"67e1\",\"type\":\"H4\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"Step 1: Load the data\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_31\":{\"id\":\"c92918332ebc_31\",\"name\":\"6949\",\"type\":\"P\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"Note: I used Kaggle notebook environment\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_32\":{\"id\":\"c92918332ebc_32\",\"name\":\"f046\",\"type\":\"IFRAME\",\"href\":null,\"layout\":\"INSET_CENTER\",\"metadata\":null,\"text\":\"\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":{\"type\":\"id\",\"generated\":true,\"id\":\"$Paragraph:c92918332ebc_32.iframe\",\"typename\":\"Iframe\"},\"mixtapeMetadata\":null},\"MediaResource:aa0ba8868d083145165c828788fbca93\":{\"id\":\"aa0ba8868d083145165c828788fbca93\",\"iframeSrc\":\"\",\"iframeHeight\":0,\"iframeWidth\":0,\"title\":\"regression.py\",\"__typename\":\"MediaResource\"},\"$Paragraph:c92918332ebc_32.iframe\":{\"mediaResource\":{\"type\":\"id\",\"generated\":false,\"id\":\"MediaResource:aa0ba8868d083145165c828788fbca93\",\"typename\":\"MediaResource\"},\"__typename\":\"Iframe\"},\"Paragraph:c92918332ebc_33\":{\"id\":\"c92918332ebc_33\",\"name\":\"0001\",\"type\":\"H4\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"Step 2: Split train and test set\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_34\":{\"id\":\"c92918332ebc_34\",\"name\":\"9f01\",\"type\":\"IFRAME\",\"href\":null,\"layout\":\"INSET_CENTER\",\"metadata\":null,\"text\":\"\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":{\"type\":\"id\",\"generated\":true,\"id\":\"$Paragraph:c92918332ebc_34.iframe\",\"typename\":\"Iframe\"},\"mixtapeMetadata\":null},\"MediaResource:7899f8a46dd8be6d92db06bc50f3468d\":{\"id\":\"7899f8a46dd8be6d92db06bc50f3468d\",\"iframeSrc\":\"\",\"iframeHeight\":0,\"iframeWidth\":0,\"title\":\"regression.py\",\"__typename\":\"MediaResource\"},\"$Paragraph:c92918332ebc_34.iframe\":{\"mediaResource\":{\"type\":\"id\",\"generated\":false,\"id\":\"MediaResource:7899f8a46dd8be6d92db06bc50f3468d\",\"typename\":\"MediaResource\"},\"__typename\":\"Iframe\"},\"Paragraph:c92918332ebc_35\":{\"id\":\"c92918332ebc_35\",\"name\":\"b9e1\",\"type\":\"IMG\",\"href\":null,\"layout\":\"INSET_CENTER\",\"metadata\":{\"type\":\"id\",\"generated\":false,\"id\":\"ImageMetadata:1*5t3Qv03jw5WPVSNfi2aL1g.png\",\"typename\":\"ImageMetadata\"},\"text\":\"\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"ImageMetadata:1*5t3Qv03jw5WPVSNfi2aL1g.png\":{\"id\":\"1*5t3Qv03jw5WPVSNfi2aL1g.png\",\"originalHeight\":150,\"originalWidth\":638,\"focusPercentX\":null,\"focusPercentY\":null,\"alt\":null,\"__typename\":\"ImageMetadata\"},\"Paragraph:c92918332ebc_36\":{\"id\":\"c92918332ebc_36\",\"name\":\"8e2e\",\"type\":\"P\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"Note: The number of columns in data for modeling is equal to unseen data for predictions and this might look odd for those who are familiar using Sklearn.\\nThere’s nothing to worry PyCaret works this way. You will understand it clearly at the time we predict the unseen data using the trained model.\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_37\":{\"id\":\"c92918332ebc_37\",\"name\":\"db2e\",\"type\":\"H4\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"Step 3: Setting up the Pycaret Environment\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_38\":{\"id\":\"c92918332ebc_38\",\"name\":\"b36c\",\"type\":\"IFRAME\",\"href\":null,\"layout\":\"INSET_CENTER\",\"metadata\":null,\"text\":\"\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":{\"type\":\"id\",\"generated\":true,\"id\":\"$Paragraph:c92918332ebc_38.iframe\",\"typename\":\"Iframe\"},\"mixtapeMetadata\":null},\"MediaResource:5e3e8482597fefb21f7e71677969a455\":{\"id\":\"5e3e8482597fefb21f7e71677969a455\",\"iframeSrc\":\"\",\"iframeHeight\":0,\"iframeWidth\":0,\"title\":\"regression.py\",\"__typename\":\"MediaResource\"},\"$Paragraph:c92918332ebc_38.iframe\":{\"mediaResource\":{\"type\":\"id\",\"generated\":false,\"id\":\"MediaResource:5e3e8482597fefb21f7e71677969a455\",\"typename\":\"MediaResource\"},\"__typename\":\"Iframe\"},\"Paragraph:c92918332ebc_39\":{\"id\":\"c92918332ebc_39\",\"name\":\"f5e8\",\"type\":\"P\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"The set-up function initializes the environment required for Pycaret to create the transform pipeline for modeling the data and deploy it. Remember the setup function should be called before using any Pycaret functions. The function takes two main arguments data and target. Data is the dataset we are using and the target is the dependent column name. When you run the function a table is created as shown in the below image. If all the data types present in the dataset and shown correctly press enter to continue the experiment. The function performs pre-processing tasks that are needed for any machine learning experiment.\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_40\":{\"id\":\"c92918332ebc_40\",\"name\":\"8693\",\"type\":\"IMG\",\"href\":null,\"layout\":\"INSET_CENTER\",\"metadata\":{\"type\":\"id\",\"generated\":false,\"id\":\"ImageMetadata:1*rX5bdSXRK8dbxLG_-Itv7A.png\",\"typename\":\"ImageMetadata\"},\"text\":\"You will get an output with 41 rows\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"ImageMetadata:1*rX5bdSXRK8dbxLG_-Itv7A.png\":{\"id\":\"1*rX5bdSXRK8dbxLG_-Itv7A.png\",\"originalHeight\":696,\"originalWidth\":336,\"focusPercentX\":null,\"focusPercentY\":null,\"alt\":null,\"__typename\":\"ImageMetadata\"},\"Paragraph:c92918332ebc_41\":{\"id\":\"c92918332ebc_41\",\"name\":\"81d1\",\"type\":\"H4\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"Main keywords definitions that you have to know\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_42\":{\"id\":\"c92918332ebc_42\",\"name\":\"bae1\",\"type\":\"ULI\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"session_id: A random number is created and used for later reproducibility. If you don’t initialize the variable the function automatically assigns 123 as the session id.\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[{\"type\":\"id\",\"generated\":true,\"id\":\"Paragraph:c92918332ebc_42.markups.0\",\"typename\":\"Markup\"}],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_42.markups.0\":{\"type\":\"STRONG\",\"start\":0,\"end\":11,\"href\":null,\"anchorType\":null,\"userId\":null,\"linkMetadata\":null,\"__typename\":\"Markup\"},\"Paragraph:c92918332ebc_43\":{\"id\":\"c92918332ebc_43\",\"name\":\"7ec5\",\"type\":\"ULI\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"Original Data: Displays the shape of the data set.\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[{\"type\":\"id\",\"generated\":true,\"id\":\"Paragraph:c92918332ebc_43.markups.0\",\"typename\":\"Markup\"}],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_43.markups.0\":{\"type\":\"STRONG\",\"start\":0,\"end\":14,\"href\":null,\"anchorType\":null,\"userId\":null,\"linkMetadata\":null,\"__typename\":\"Markup\"},\"Paragraph:c92918332ebc_44\":{\"id\":\"c92918332ebc_44\",\"name\":\"fbe4\",\"type\":\"ULI\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"Missing Values: Shows a boolean value if the data is missing in the dataset. True is shown if there is missing data and False is shown if there are no missing values.\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[{\"type\":\"id\",\"generated\":true,\"id\":\"Paragraph:c92918332ebc_44.markups.0\",\"typename\":\"Markup\"}],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_44.markups.0\":{\"type\":\"STRONG\",\"start\":0,\"end\":15,\"href\":null,\"anchorType\":null,\"userId\":null,\"linkMetadata\":null,\"__typename\":\"Markup\"},\"Paragraph:c92918332ebc_45\":{\"id\":\"c92918332ebc_45\",\"name\":\"dc2e\",\"type\":\"ULI\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"Numeric Features: Number of features inferred as numeric.\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[{\"type\":\"id\",\"generated\":true,\"id\":\"Paragraph:c92918332ebc_45.markups.0\",\"typename\":\"Markup\"}],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_45.markups.0\":{\"type\":\"STRONG\",\"start\":0,\"end\":17,\"href\":null,\"anchorType\":null,\"userId\":null,\"linkMetadata\":null,\"__typename\":\"Markup\"},\"Paragraph:c92918332ebc_46\":{\"id\":\"c92918332ebc_46\",\"name\":\"407d\",\"type\":\"ULI\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"Categorical Features: The number of categorical features count is shown.\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[{\"type\":\"id\",\"generated\":true,\"id\":\"Paragraph:c92918332ebc_46.markups.0\",\"typename\":\"Markup\"}],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_46.markups.0\":{\"type\":\"STRONG\",\"start\":0,\"end\":21,\"href\":null,\"anchorType\":null,\"userId\":null,\"linkMetadata\":null,\"__typename\":\"Markup\"},\"Paragraph:c92918332ebc_47\":{\"id\":\"c92918332ebc_47\",\"name\":\"43de\",\"type\":\"ULI\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"Transformed Train Set: Displays the transformed data frame shape after the pre-processing.\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[{\"type\":\"id\",\"generated\":true,\"id\":\"Paragraph:c92918332ebc_47.markups.0\",\"typename\":\"Markup\"}],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_47.markups.0\":{\"type\":\"STRONG\",\"start\":0,\"end\":22,\"href\":null,\"anchorType\":null,\"userId\":null,\"linkMetadata\":null,\"__typename\":\"Markup\"},\"Paragraph:c92918332ebc_48\":{\"id\":\"c92918332ebc_48\",\"name\":\"c388\",\"type\":\"ULI\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"Transformed Test Set: Displays the shape of the transformed train and test set. The default value is 70 percent for the train set and 30 for the training set.\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[{\"type\":\"id\",\"generated\":true,\"id\":\"Paragraph:c92918332ebc_48.markups.0\",\"typename\":\"Markup\"}],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_48.markups.0\":{\"type\":\"STRONG\",\"start\":0,\"end\":21,\"href\":null,\"anchorType\":null,\"userId\":null,\"linkMetadata\":null,\"__typename\":\"Markup\"},\"Paragraph:c92918332ebc_49\":{\"id\":\"c92918332ebc_49\",\"name\":\"4d60\",\"type\":\"H4\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"Step 4: Comparing all the models\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_50\":{\"id\":\"c92918332ebc_50\",\"name\":\"fa61\",\"type\":\"IFRAME\",\"href\":null,\"layout\":\"INSET_CENTER\",\"metadata\":null,\"text\":\"\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":{\"type\":\"id\",\"generated\":true,\"id\":\"$Paragraph:c92918332ebc_50.iframe\",\"typename\":\"Iframe\"},\"mixtapeMetadata\":null},\"MediaResource:cb09978ffe1499872b6e32cb92ae6ec6\":{\"id\":\"cb09978ffe1499872b6e32cb92ae6ec6\",\"iframeSrc\":\"\",\"iframeHeight\":0,\"iframeWidth\":0,\"title\":\"regression.py\",\"__typename\":\"MediaResource\"},\"$Paragraph:c92918332ebc_50.iframe\":{\"mediaResource\":{\"type\":\"id\",\"generated\":false,\"id\":\"MediaResource:cb09978ffe1499872b6e32cb92ae6ec6\",\"typename\":\"MediaResource\"},\"__typename\":\"Iframe\"},\"Paragraph:c92918332ebc_51\":{\"id\":\"c92918332ebc_51\",\"name\":\"75ae\",\"type\":\"P\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"This function call starts comparing all the models based on their performance. This is recommended for modeling the data once the setup is completed. All the models are trained and scores them using k-fold scoring validation for evaluation. The output of this function creates a table with the model name, MAE, MSE, RMSE, R2, RMSLE, and MAPE as the columns. This function call does the hard work and saves a lot of time. Depending on the size of the dataset this step might take time to finish.\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_52\":{\"id\":\"c92918332ebc_52\",\"name\":\"eac5\",\"type\":\"IMG\",\"href\":null,\"layout\":\"INSET_CENTER\",\"metadata\":{\"type\":\"id\",\"generated\":false,\"id\":\"ImageMetadata:1*2J7ponMMJVEfabVrEI33Pw.png\",\"typename\":\"ImageMetadata\"},\"text\":\"\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"ImageMetadata:1*2J7ponMMJVEfabVrEI33Pw.png\":{\"id\":\"1*2J7ponMMJVEfabVrEI33Pw.png\",\"originalHeight\":634,\"originalWidth\":712,\"focusPercentX\":null,\"focusPercentY\":null,\"alt\":null,\"__typename\":\"ImageMetadata\"},\"Paragraph:c92918332ebc_53\":{\"id\":\"c92918332ebc_53\",\"name\":\"a1fc\",\"type\":\"P\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"It trained 21 models and arranged them in order from best to the worst. Now it’s your choice to select the best model for you.\\nThe best algorithm that works fine for my problem statement is Extra Tree’s Regressor.\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_54\":{\"id\":\"c92918332ebc_54\",\"name\":\"9b5e\",\"type\":\"H4\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"Step 5: Create the model\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_55\":{\"id\":\"c92918332ebc_55\",\"name\":\"e997\",\"type\":\"P\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"After comparing models the function does not return the trained models. we have to create the model using create the model function and the function returns a grid with all the scores same as in the above step\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_56\":{\"id\":\"c92918332ebc_56\",\"name\":\"6a37\",\"type\":\"P\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"You can find all the models described here.\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[{\"type\":\"id\",\"generated\":true,\"id\":\"Paragraph:c92918332ebc_56.markups.0\",\"typename\":\"Markup\"}],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_56.markups.0\":{\"type\":\"A\",\"start\":38,\"end\":42,\"href\":\"https:\\u002F\\u002Fpycaret.org\\u002Fcreate-model\\u002F\",\"anchorType\":\"LINK\",\"userId\":null,\"linkMetadata\":null,\"__typename\":\"Markup\"},\"Paragraph:c92918332ebc_57\":{\"id\":\"c92918332ebc_57\",\"name\":\"578b\",\"type\":\"IFRAME\",\"href\":null,\"layout\":\"INSET_CENTER\",\"metadata\":null,\"text\":\"\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":{\"type\":\"id\",\"generated\":true,\"id\":\"$Paragraph:c92918332ebc_57.iframe\",\"typename\":\"Iframe\"},\"mixtapeMetadata\":null},\"MediaResource:8cde4f7f702bcab63650e00edbd22119\":{\"id\":\"8cde4f7f702bcab63650e00edbd22119\",\"iframeSrc\":\"\",\"iframeHeight\":0,\"iframeWidth\":0,\"title\":\"regression.py\",\"__typename\":\"MediaResource\"},\"$Paragraph:c92918332ebc_57.iframe\":{\"mediaResource\":{\"type\":\"id\",\"generated\":false,\"id\":\"MediaResource:8cde4f7f702bcab63650e00edbd22119\",\"typename\":\"MediaResource\"},\"__typename\":\"Iframe\"},\"Paragraph:c92918332ebc_58\":{\"id\":\"c92918332ebc_58\",\"name\":\"474f\",\"type\":\"P\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"Output:\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_59\":{\"id\":\"c92918332ebc_59\",\"name\":\"87ca\",\"type\":\"IMG\",\"href\":null,\"layout\":\"INSET_CENTER\",\"metadata\":{\"type\":\"id\",\"generated\":false,\"id\":\"ImageMetadata:1*pNs1Uu-F-d4EL3iYDBnEBA.png\",\"typename\":\"ImageMetadata\"},\"text\":\"\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"ImageMetadata:1*pNs1Uu-F-d4EL3iYDBnEBA.png\":{\"id\":\"1*pNs1Uu-F-d4EL3iYDBnEBA.png\",\"originalHeight\":449,\"originalWidth\":453,\"focusPercentX\":null,\"focusPercentY\":null,\"alt\":null,\"__typename\":\"ImageMetadata\"},\"Paragraph:c92918332ebc_60\":{\"id\":\"c92918332ebc_60\",\"name\":\"1503\",\"type\":\"P\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"To see all the hyperparameters used in the model print the model using this line of code.\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_61\":{\"id\":\"c92918332ebc_61\",\"name\":\"6e0d\",\"type\":\"IFRAME\",\"href\":null,\"layout\":\"INSET_CENTER\",\"metadata\":null,\"text\":\"\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":{\"type\":\"id\",\"generated\":true,\"id\":\"$Paragraph:c92918332ebc_61.iframe\",\"typename\":\"Iframe\"},\"mixtapeMetadata\":null},\"MediaResource:e0bd3c3fb0421988f2fc26e89784f6ac\":{\"id\":\"e0bd3c3fb0421988f2fc26e89784f6ac\",\"iframeSrc\":\"\",\"iframeHeight\":0,\"iframeWidth\":0,\"title\":\"regression.py\",\"__typename\":\"MediaResource\"},\"$Paragraph:c92918332ebc_61.iframe\":{\"mediaResource\":{\"type\":\"id\",\"generated\":false,\"id\":\"MediaResource:e0bd3c3fb0421988f2fc26e89784f6ac\",\"typename\":\"MediaResource\"},\"__typename\":\"Iframe\"},\"Paragraph:c92918332ebc_62\":{\"id\":\"c92918332ebc_62\",\"name\":\"0f00\",\"type\":\"P\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"Output:\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_63\":{\"id\":\"c92918332ebc_63\",\"name\":\"f157\",\"type\":\"IMG\",\"href\":null,\"layout\":\"INSET_CENTER\",\"metadata\":{\"type\":\"id\",\"generated\":false,\"id\":\"ImageMetadata:1*Btlr_0OFk5QRXQRxZwhTOw.png\",\"typename\":\"ImageMetadata\"},\"text\":\"\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"ImageMetadata:1*Btlr_0OFk5QRXQRxZwhTOw.png\":{\"id\":\"1*Btlr_0OFk5QRXQRxZwhTOw.png\",\"originalHeight\":191,\"originalWidth\":795,\"focusPercentX\":null,\"focusPercentY\":null,\"alt\":null,\"__typename\":\"ImageMetadata\"},\"Paragraph:c92918332ebc_64\":{\"id\":\"c92918332ebc_64\",\"name\":\"d835\",\"type\":\"H4\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"Step 6: Tune the model\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_65\":{\"id\":\"c92918332ebc_65\",\"name\":\"5ab0\",\"type\":\"P\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"The model created in the above step uses default hyperparameters and the model might not be very effective. So tuning the model is required the tune model function. This function automatically tunes the hyperparameters and scores it using k-fold cross-validation. The output print a grid with all the scores of the tuned model.\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_66\":{\"id\":\"c92918332ebc_66\",\"name\":\"912d\",\"type\":\"P\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"Note: tune_model() does not take a trained model object as an input(Abbreviated name of the model as in the creation model function)\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[{\"type\":\"id\",\"generated\":true,\"id\":\"Paragraph:c92918332ebc_66.markups.0\",\"typename\":\"Markup\"}],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_66.markups.0\":{\"type\":\"STRONG\",\"start\":0,\"end\":5,\"href\":null,\"anchorType\":null,\"userId\":null,\"linkMetadata\":null,\"__typename\":\"Markup\"},\"Paragraph:c92918332ebc_67\":{\"id\":\"c92918332ebc_67\",\"name\":\"d841\",\"type\":\"IFRAME\",\"href\":null,\"layout\":\"INSET_CENTER\",\"metadata\":null,\"text\":\"\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":{\"type\":\"id\",\"generated\":true,\"id\":\"$Paragraph:c92918332ebc_67.iframe\",\"typename\":\"Iframe\"},\"mixtapeMetadata\":null},\"MediaResource:b78057b03c87ce09e7bd4a6f99183634\":{\"id\":\"b78057b03c87ce09e7bd4a6f99183634\",\"iframeSrc\":\"\",\"iframeHeight\":0,\"iframeWidth\":0,\"title\":\"regression.py\",\"__typename\":\"MediaResource\"},\"$Paragraph:c92918332ebc_67.iframe\":{\"mediaResource\":{\"type\":\"id\",\"generated\":false,\"id\":\"MediaResource:b78057b03c87ce09e7bd4a6f99183634\",\"typename\":\"MediaResource\"},\"__typename\":\"Iframe\"},\"Paragraph:c92918332ebc_68\":{\"id\":\"c92918332ebc_68\",\"name\":\"1d16\",\"type\":\"P\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"Output:\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_69\":{\"id\":\"c92918332ebc_69\",\"name\":\"e922\",\"type\":\"IMG\",\"href\":null,\"layout\":\"INSET_CENTER\",\"metadata\":{\"type\":\"id\",\"generated\":false,\"id\":\"ImageMetadata:1*3LWZQZcrNxPq1GLbUTrtaA.png\",\"typename\":\"ImageMetadata\"},\"text\":\"\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"ImageMetadata:1*3LWZQZcrNxPq1GLbUTrtaA.png\":{\"id\":\"1*3LWZQZcrNxPq1GLbUTrtaA.png\",\"originalHeight\":407,\"originalWidth\":454,\"focusPercentX\":null,\"focusPercentY\":null,\"alt\":null,\"__typename\":\"ImageMetadata\"},\"Paragraph:c92918332ebc_70\":{\"id\":\"c92918332ebc_70\",\"name\":\"1d3b\",\"type\":\"P\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"You can print the model and see the tuned hyper-parameters.\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_71\":{\"id\":\"c92918332ebc_71\",\"name\":\"67e7\",\"type\":\"H4\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"Step 7: Plot the model\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_72\":{\"id\":\"c92918332ebc_72\",\"name\":\"b8e9\",\"type\":\"P\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"Before finalizing, we can plot the model using the plot model function to analyze the performance across different aspects. This function takes a trained model as the argument and returns a plot based on the test set. There are 10 types of plot available for further information go through the documentation.\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[{\"type\":\"id\",\"generated\":true,\"id\":\"Paragraph:c92918332ebc_72.markups.0\",\"typename\":\"Markup\"}],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_72.markups.0\":{\"type\":\"A\",\"start\":294,\"end\":307,\"href\":\"https:\\u002F\\u002Fpycaret.org\\u002Fplot-model\\u002F\",\"anchorType\":\"LINK\",\"userId\":null,\"linkMetadata\":null,\"__typename\":\"Markup\"},\"Paragraph:c92918332ebc_73\":{\"id\":\"c92918332ebc_73\",\"name\":\"359b\",\"type\":\"IFRAME\",\"href\":null,\"layout\":\"INSET_CENTER\",\"metadata\":null,\"text\":\"\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":{\"type\":\"id\",\"generated\":true,\"id\":\"$Paragraph:c92918332ebc_73.iframe\",\"typename\":\"Iframe\"},\"mixtapeMetadata\":null},\"MediaResource:f781a15a0406e71f0efad7207fd38485\":{\"id\":\"f781a15a0406e71f0efad7207fd38485\",\"iframeSrc\":\"\",\"iframeHeight\":0,\"iframeWidth\":0,\"title\":\"regression.py\",\"__typename\":\"MediaResource\"},\"$Paragraph:c92918332ebc_73.iframe\":{\"mediaResource\":{\"type\":\"id\",\"generated\":false,\"id\":\"MediaResource:f781a15a0406e71f0efad7207fd38485\",\"typename\":\"MediaResource\"},\"__typename\":\"Iframe\"},\"Paragraph:c92918332ebc_74\":{\"id\":\"c92918332ebc_74\",\"name\":\"70ce\",\"type\":\"P\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"Output:\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_75\":{\"id\":\"c92918332ebc_75\",\"name\":\"ed40\",\"type\":\"IMG\",\"href\":null,\"layout\":\"INSET_CENTER\",\"metadata\":{\"type\":\"id\",\"generated\":false,\"id\":\"ImageMetadata:1*BBmheR1g6qt_9n1XNm8Xfw.png\",\"typename\":\"ImageMetadata\"},\"text\":\"The perfect residual plot\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"ImageMetadata:1*BBmheR1g6qt_9n1XNm8Xfw.png\":{\"id\":\"1*BBmheR1g6qt_9n1XNm8Xfw.png\",\"originalHeight\":479,\"originalWidth\":674,\"focusPercentX\":null,\"focusPercentY\":null,\"alt\":null,\"__typename\":\"ImageMetadata\"},\"Paragraph:c92918332ebc_76\":{\"id\":\"c92918332ebc_76\",\"name\":\"a002\",\"type\":\"P\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"There are many other plots which you can try. Go through the documentation.\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[{\"type\":\"id\",\"generated\":true,\"id\":\"Paragraph:c92918332ebc_76.markups.0\",\"typename\":\"Markup\"}],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_76.markups.0\":{\"type\":\"A\",\"start\":61,\"end\":74,\"href\":\"https:\\u002F\\u002Fpycaret.org\\u002Fplot-model\\u002F\",\"anchorType\":\"LINK\",\"userId\":null,\"linkMetadata\":null,\"__typename\":\"Markup\"},\"Paragraph:c92918332ebc_77\":{\"id\":\"c92918332ebc_77\",\"name\":\"14f6\",\"type\":\"H4\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"Step 8: Interactive mode to analyze the model performance\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_78\":{\"id\":\"c92918332ebc_78\",\"name\":\"d05a\",\"type\":\"P\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"One of the best functions that I found useful in Pycaret is the evaluation model. This function displays a user interface for all the available plots for a given model. plot model function is used to create all the plots internally in this function.\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_79\":{\"id\":\"c92918332ebc_79\",\"name\":\"dfc5\",\"type\":\"IFRAME\",\"href\":null,\"layout\":\"INSET_CENTER\",\"metadata\":null,\"text\":\"\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":{\"type\":\"id\",\"generated\":true,\"id\":\"$Paragraph:c92918332ebc_79.iframe\",\"typename\":\"Iframe\"},\"mixtapeMetadata\":null},\"MediaResource:c6f85ea3d9c1b5159e2caca4deaf27c9\":{\"id\":\"c6f85ea3d9c1b5159e2caca4deaf27c9\",\"iframeSrc\":\"\",\"iframeHeight\":0,\"iframeWidth\":0,\"title\":\"regression.py\",\"__typename\":\"MediaResource\"},\"$Paragraph:c92918332ebc_79.iframe\":{\"mediaResource\":{\"type\":\"id\",\"generated\":false,\"id\":\"MediaResource:c6f85ea3d9c1b5159e2caca4deaf27c9\",\"typename\":\"MediaResource\"},\"__typename\":\"Iframe\"},\"Paragraph:c92918332ebc_80\":{\"id\":\"c92918332ebc_80\",\"name\":\"cf2e\",\"type\":\"P\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"Output:\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_81\":{\"id\":\"c92918332ebc_81\",\"name\":\"c17a\",\"type\":\"IMG\",\"href\":null,\"layout\":\"INSET_CENTER\",\"metadata\":{\"type\":\"id\",\"generated\":false,\"id\":\"ImageMetadata:1*-0FsXSghzZdW3QJVbMkSPQ.png\",\"typename\":\"ImageMetadata\"},\"text\":\"\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"ImageMetadata:1*-0FsXSghzZdW3QJVbMkSPQ.png\":{\"id\":\"1*-0FsXSghzZdW3QJVbMkSPQ.png\",\"originalHeight\":618,\"originalWidth\":1331,\"focusPercentX\":null,\"focusPercentY\":null,\"alt\":null,\"__typename\":\"ImageMetadata\"},\"Paragraph:c92918332ebc_82\":{\"id\":\"c92918332ebc_82\",\"name\":\"0c97\",\"type\":\"P\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"You can select the plot type as this is all interactive.\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_83\":{\"id\":\"c92918332ebc_83\",\"name\":\"428e\",\"type\":\"H4\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"Step 9: Check the model before finalizing\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_84\":{\"id\":\"c92918332ebc_84\",\"name\":\"1c4d\",\"type\":\"P\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"The main important step of the whole process is checking the model before finalizing it. It is a good practice to perform one final check by prediction test set and evaluating the scores.\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_85\":{\"id\":\"c92918332ebc_85\",\"name\":\"a61c\",\"type\":\"IFRAME\",\"href\":null,\"layout\":\"INSET_CENTER\",\"metadata\":null,\"text\":\"\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":{\"type\":\"id\",\"generated\":true,\"id\":\"$Paragraph:c92918332ebc_85.iframe\",\"typename\":\"Iframe\"},\"mixtapeMetadata\":null},\"MediaResource:49526a6227917b63fc55a7be7863ccb1\":{\"id\":\"49526a6227917b63fc55a7be7863ccb1\",\"iframeSrc\":\"\",\"iframeHeight\":0,\"iframeWidth\":0,\"title\":\"regression.py\",\"__typename\":\"MediaResource\"},\"$Paragraph:c92918332ebc_85.iframe\":{\"mediaResource\":{\"type\":\"id\",\"generated\":false,\"id\":\"MediaResource:49526a6227917b63fc55a7be7863ccb1\",\"typename\":\"MediaResource\"},\"__typename\":\"Iframe\"},\"Paragraph:c92918332ebc_86\":{\"id\":\"c92918332ebc_86\",\"name\":\"dbfd\",\"type\":\"P\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"Output:\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_87\":{\"id\":\"c92918332ebc_87\",\"name\":\"b2e2\",\"type\":\"IMG\",\"href\":null,\"layout\":\"INSET_CENTER\",\"metadata\":{\"type\":\"id\",\"generated\":false,\"id\":\"ImageMetadata:1*ne_iE_r1Oz0yVEf3L9kJuQ.png\",\"typename\":\"ImageMetadata\"},\"text\":\"\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"ImageMetadata:1*ne_iE_r1Oz0yVEf3L9kJuQ.png\":{\"id\":\"1*ne_iE_r1Oz0yVEf3L9kJuQ.png\",\"originalHeight\":95,\"originalWidth\":605,\"focusPercentX\":null,\"focusPercentY\":null,\"alt\":null,\"__typename\":\"ImageMetadata\"},\"Paragraph:c92918332ebc_88\":{\"id\":\"c92918332ebc_88\",\"name\":\"3538\",\"type\":\"H4\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"Step 10: Finalize model for deployment\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_89\":{\"id\":\"c92918332ebc_89\",\"name\":\"09a1\",\"type\":\"IFRAME\",\"href\":null,\"layout\":\"INSET_CENTER\",\"metadata\":null,\"text\":\"\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":{\"type\":\"id\",\"generated\":true,\"id\":\"$Paragraph:c92918332ebc_89.iframe\",\"typename\":\"Iframe\"},\"mixtapeMetadata\":null},\"MediaResource:2ba6dacd811861ce89c8fa15015fcc40\":{\"id\":\"2ba6dacd811861ce89c8fa15015fcc40\",\"iframeSrc\":\"\",\"iframeHeight\":0,\"iframeWidth\":0,\"title\":\"regression.py\",\"__typename\":\"MediaResource\"},\"$Paragraph:c92918332ebc_89.iframe\":{\"mediaResource\":{\"type\":\"id\",\"generated\":false,\"id\":\"MediaResource:2ba6dacd811861ce89c8fa15015fcc40\",\"typename\":\"MediaResource\"},\"__typename\":\"Iframe\"},\"Paragraph:c92918332ebc_90\":{\"id\":\"c92918332ebc_90\",\"name\":\"0488\",\"type\":\"H4\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"Step 11: Predict to Unseen data\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_91\":{\"id\":\"c92918332ebc_91\",\"name\":\"9509\",\"type\":\"IFRAME\",\"href\":null,\"layout\":\"INSET_CENTER\",\"metadata\":null,\"text\":\"\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":{\"type\":\"id\",\"generated\":true,\"id\":\"$Paragraph:c92918332ebc_91.iframe\",\"typename\":\"Iframe\"},\"mixtapeMetadata\":null},\"MediaResource:bce13c7ce72351d46a834a7f21277eb4\":{\"id\":\"bce13c7ce72351d46a834a7f21277eb4\",\"iframeSrc\":\"\",\"iframeHeight\":0,\"iframeWidth\":0,\"title\":\"regression.py\",\"__typename\":\"MediaResource\"},\"$Paragraph:c92918332ebc_91.iframe\":{\"mediaResource\":{\"type\":\"id\",\"generated\":false,\"id\":\"MediaResource:bce13c7ce72351d46a834a7f21277eb4\",\"typename\":\"MediaResource\"},\"__typename\":\"Iframe\"},\"Paragraph:c92918332ebc_92\":{\"id\":\"c92918332ebc_92\",\"name\":\"b548\",\"type\":\"P\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"Print the new prediction data frame.\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_93\":{\"id\":\"c92918332ebc_93\",\"name\":\"0666\",\"type\":\"IFRAME\",\"href\":null,\"layout\":\"INSET_CENTER\",\"metadata\":null,\"text\":\"\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":{\"type\":\"id\",\"generated\":true,\"id\":\"$Paragraph:c92918332ebc_93.iframe\",\"typename\":\"Iframe\"},\"mixtapeMetadata\":null},\"MediaResource:eb8f923d6404e7659ce54b736007f414\":{\"id\":\"eb8f923d6404e7659ce54b736007f414\",\"iframeSrc\":\"\",\"iframeHeight\":0,\"iframeWidth\":0,\"title\":\"regression.py\",\"__typename\":\"MediaResource\"},\"$Paragraph:c92918332ebc_93.iframe\":{\"mediaResource\":{\"type\":\"id\",\"generated\":false,\"id\":\"MediaResource:eb8f923d6404e7659ce54b736007f414\",\"typename\":\"MediaResource\"},\"__typename\":\"Iframe\"},\"Paragraph:c92918332ebc_94\":{\"id\":\"c92918332ebc_94\",\"name\":\"28f1\",\"type\":\"IMG\",\"href\":null,\"layout\":\"INSET_CENTER\",\"metadata\":{\"type\":\"id\",\"generated\":false,\"id\":\"ImageMetadata:1*uJUnDOdg8C5s6o4DjTsVgA.png\",\"typename\":\"ImageMetadata\"},\"text\":\"\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"ImageMetadata:1*uJUnDOdg8C5s6o4DjTsVgA.png\":{\"id\":\"1*uJUnDOdg8C5s6o4DjTsVgA.png\",\"originalHeight\":199,\"originalWidth\":383,\"focusPercentX\":null,\"focusPercentY\":null,\"alt\":null,\"__typename\":\"ImageMetadata\"},\"Paragraph:c92918332ebc_95\":{\"id\":\"c92918332ebc_95\",\"name\":\"8aca\",\"type\":\"P\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"If you keenly look at the data frame you have a new column named “Label” which is nothing but the predicted values column.\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_96\":{\"id\":\"c92918332ebc_96\",\"name\":\"0f02\",\"type\":\"P\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"I guess now it made sense why there were 3 columns in the unseen data set as train(data) set.\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_97\":{\"id\":\"c92918332ebc_97\",\"name\":\"5c0d\",\"type\":\"H4\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"Step 12: Save the model\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_98\":{\"id\":\"c92918332ebc_98\",\"name\":\"028a\",\"type\":\"P\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"By doing this you can use your model on new data whenever you want. You need to go through the entire process again if you save your model.\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_99\":{\"id\":\"c92918332ebc_99\",\"name\":\"ceaa\",\"type\":\"IFRAME\",\"href\":null,\"layout\":\"INSET_CENTER\",\"metadata\":null,\"text\":\"\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":{\"type\":\"id\",\"generated\":true,\"id\":\"$Paragraph:c92918332ebc_99.iframe\",\"typename\":\"Iframe\"},\"mixtapeMetadata\":null},\"MediaResource:e1744229ad16ec529371863d7314f66b\":{\"id\":\"e1744229ad16ec529371863d7314f66b\",\"iframeSrc\":\"\",\"iframeHeight\":0,\"iframeWidth\":0,\"title\":\"regression.py\",\"__typename\":\"MediaResource\"},\"$Paragraph:c92918332ebc_99.iframe\":{\"mediaResource\":{\"type\":\"id\",\"generated\":false,\"id\":\"MediaResource:e1744229ad16ec529371863d7314f66b\",\"typename\":\"MediaResource\"},\"__typename\":\"Iframe\"},\"Paragraph:c92918332ebc_100\":{\"id\":\"c92918332ebc_100\",\"name\":\"aeb9\",\"type\":\"P\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"save model function takes two arguments one is the model name and the second one is the name with which you want to save the model.\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_101\":{\"id\":\"c92918332ebc_101\",\"name\":\"2b3e\",\"type\":\"P\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"To reuse the model again try the following code.\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_102\":{\"id\":\"c92918332ebc_102\",\"name\":\"3741\",\"type\":\"IFRAME\",\"href\":null,\"layout\":\"INSET_CENTER\",\"metadata\":null,\"text\":\"\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":{\"type\":\"id\",\"generated\":true,\"id\":\"$Paragraph:c92918332ebc_102.iframe\",\"typename\":\"Iframe\"},\"mixtapeMetadata\":null},\"MediaResource:d553647c56965fe4d65c828322d736c3\":{\"id\":\"d553647c56965fe4d65c828322d736c3\",\"iframeSrc\":\"\",\"iframeHeight\":0,\"iframeWidth\":0,\"title\":\"regression.py\",\"__typename\":\"MediaResource\"},\"$Paragraph:c92918332ebc_102.iframe\":{\"mediaResource\":{\"type\":\"id\",\"generated\":false,\"id\":\"MediaResource:d553647c56965fe4d65c828322d736c3\",\"typename\":\"MediaResource\"},\"__typename\":\"Iframe\"},\"Paragraph:c92918332ebc_103\":{\"id\":\"c92918332ebc_103\",\"name\":\"b6c6\",\"type\":\"P\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"Output:\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_104\":{\"id\":\"c92918332ebc_104\",\"name\":\"f5c6\",\"type\":\"IMG\",\"href\":null,\"layout\":\"INSET_CENTER\",\"metadata\":{\"type\":\"id\",\"generated\":false,\"id\":\"ImageMetadata:1*4kfic-8F0kaqL-wFfcgDTw.png\",\"typename\":\"ImageMetadata\"},\"text\":\"\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"ImageMetadata:1*4kfic-8F0kaqL-wFfcgDTw.png\":{\"id\":\"1*4kfic-8F0kaqL-wFfcgDTw.png\",\"originalHeight\":39,\"originalWidth\":525,\"focusPercentX\":null,\"focusPercentY\":null,\"alt\":null,\"__typename\":\"ImageMetadata\"},\"Paragraph:c92918332ebc_105\":{\"id\":\"c92918332ebc_105\",\"name\":\"1f21\",\"type\":\"P\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"Once the model is loaded in the environment, you can simply use it to predict any new data using the same predict_model() function.\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[{\"type\":\"id\",\"generated\":true,\"id\":\"Paragraph:c92918332ebc_105.markups.0\",\"typename\":\"Markup\"}],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_105.markups.0\":{\"type\":\"CODE\",\"start\":106,\"end\":121,\"href\":null,\"anchorType\":null,\"userId\":null,\"linkMetadata\":null,\"__typename\":\"Markup\"},\"Paragraph:c92918332ebc_106\":{\"id\":\"c92918332ebc_106\",\"name\":\"2642\",\"type\":\"H3\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"Conclusion\",\"hasDropCap\":null,\"dropCapImage\":null,\"markups\":[],\"__typename\":\"Paragraph\",\"iframe\":null,\"mixtapeMetadata\":null},\"Paragraph:c92918332ebc_107\":{\"id\":\"c92918332ebc_107\",\"name\":\"f80b\",\"type\":\"P\",\"href\":null,\"layout\":null,\"metadata\":null,\"text\":\"It 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